ML Engineer Jobs in Pittsburgh.
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Staff Security Engineer
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Who we are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.
What we are looking for
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.
We're searching for a Staff Security Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.
Aurora is scaling its autonomous trucking operations, and the security foundations protecting our employees, devices, internal systems, and data need to scale with us. We're looking for a deeply technical enterprise security engineer who is as comfortable in a code editor as in a security console — you build the systems that make Aurora's security operations possible. This is a role for someone who can architect robust enterprise security solutions, write the code to implement them, and partner across Engineering and IT to make sure security is embedded from the start, not bolted on at the end.
This is not a security operations-only role. It sits squarely in enterprise security engineering, where the work is designing, building, and owning the platforms, integrations, and automation that power Aurora's internal security posture at scale.
In this role you will
- Own the architecture and implementation of Aurora's enterprise security controls — designing the systems and integrations that protect Aurora's endpoints, identities, internal infrastructure, and SaaS environment.
- Design and build Aurora's security telemetry and detection infrastructure, including log pipelines, SIEM integrations, and alerting frameworks — in partnership with the Security Operations Engineer who owns ongoing tuning and rule development.
- Define and enforce enterprise security standards, conducting architecture and design reviews to ensure alignment with Aurora's security posture and risk tolerance.
- Partner with IT, Infrastructure, and Engineering teams to embed security requirements early — shifting left on corporate IT initiatives before they become technical debt.
- Build automation and tooling that extends the capabilities of Aurora's security platforms, reduces manual operational burden, and scales the team's impact.
- Serve as the escalation point for enterprise security incidents requiring engineering-level investigation or remediation, and participate in the team's on-call rotation.
- Translate security strategy into concrete, executable engineering projects with clear milestones and measurable outcomes.
Required qualifications
- 12+ years of hands-on experience in enterprise security engineering or corporate information security — specifically securing employee-facing systems, endpoints, identities, and internal infrastructure (not product or application security).
- Proficiency in at least one programming language, used in a security context — writing production-quality automation, integrations, or internal tooling (the team primarily uses Go; Python is also common).
- Experience architecting and integrating enterprise security platforms — designing API integrations, automating workflows, and building tooling that extends platform capabilities across domains such as EDR/XDR, MDM, IAM/IGA, DLP, SaaS security, cloud security, or PKI.
- Experience designing and building security telemetry pipelines and detection infrastructure — log ingestion, normalization, SIEM integration, and alerting architecture.
- Experience leading cross-functional security engineering projects — defining scope, driving execution, and aligning stakeholders across Engineering and IT.
- Track record of conducting security architecture reviews and translating findings into actionable, risk-prioritized remediation plans.
- Experience evaluating security posture and identifying systemic gaps, with a bias toward building durable solutions rather than one-off fixes.
Desirable qualifications
- Experience with Zero Trust architecture and identity-centric security models (BeyondCorp-style or similar).
- Familiarity with NIST CSF, MITRE ATT&CK, and CIS Benchmarks as engineering inputs — used to inform what to build and how to validate it, not just as compliance checkboxes.
- Hands-on AWS security experience (SCPs, GuardDuty, Security Hub, IAM, etc.) and familiarity with integrating cloud security signals into a corporate security platform.
- Experience with applied cryptography and PKI in a production enterprise environment — certificate lifecycle management, CA design, or secrets management.
- Familiarity with securing AI/ML platforms or applications built on LLMs, RAG pipelines, or MCP-based architectures.
- Security certifications such as CISSP, GCED, GREM, or similar (valued but not required).
The base salary range for this position is $171,000 - $247,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
#Mid-Senior
Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.
We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.
Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.
Our commitment to safety
At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.
Our commitment to inclusion
Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
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Senior Software Engineer - Jobs Platform
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Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
At Latitude, the Overwatch team builds the systems that run and manage large amounts of computing work across the organization. This work helps engineers train models, test software, and move data reliably at scale. The team owns the platforms that schedule and monitor long-running jobs and keep shared computing resources running efficiently. In addition, the team develops systems that deliver software and data to vehicles and collect logs and telemetry from real-world driving.
What you’ll do:
- Build and improve systems that orchestrate, schedule, run, and monitor large numbers of ML jobs used across the company for training automated driving features
- Design reliable software that handles failures, retries, and high load while keeping results accurate and timely
- Build and maintain backend services and APIs that support job submission and reliable execution of long-running work
- Investigate production issues, identify root causes, and implement fixes that prevent repeat failures
- Review designs and code to ensure solutions are simple, reliable, and scalable over time
- Collaborate closely with infrastructure, machine learning and data science teams to ensure computing systems are reliable and being optimally used
- Build with scale and maintainability in mind, while rapidly iterating on new ideas
What you'll need to succeed:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
- Experience in designing high-scale distributed systems that meet user requirements
- Prior experience building or operating large-scale job scheduling or workload orchestration platforms, such as container-based or batch computing systems used to manage shared compute resources
- Expertise in back-end languages (e.g., Kotlin, Java, Go, Python) and frameworks
- Experience designing and building distributed systems using modern backend patterns for reliability, coordination, and asynchronous processing
- At least 6+ years of experience in a related field where actively coding & designing 80% of the time
- Comfort working in a fast-moving environment with evolving requirements, where ideas are tested quickly and real user impact guides decisions
Nice to have:
- Exposure to performance tuning, cost optimization, or capacity planning for compute-intensive workloads
- Experience working on large-scale computing platforms that manage shared resources and competing workloads
What we offer you:
- Competitive compensation packages
- High-quality individual and family medical, dental, and vision insurance
- Health savings account with available employer match
- Employer-matched 401(k) retirement plan with immediate vesting
- Employer-paid group term life insurance and the option to elect voluntary life insurance
- Paid parental leave
- Paid medical leave
- Unlimited vacation
- 15 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- Pre-tax spending accounts for healthcare and dependent care expenses
- Pre-tax commuter benefits
- Monthly wellness stipend
- Adoption/Surrogacy support program
- Backup child and elder care program
- Professional development reimbursement
- Employee assistance program
- Discounted programs that include legal services, identity theft protection, pet insurance, and more
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Learn more about Latitude’s team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Ready to apply?
Apply to Latitude AI
Senior Analytics Engineer - Autonomy Analytics
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Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The Autonomy Analytics team is responsible for evaluating the performance of our autonomous software using data, statistics, and machine learning. Combining data from real-world testing with our extensive simulations, our team builds the metrics and analytics that ensure our product is safe, reliable, and delights our customers.
Our team is spread geographically with some members on-site in Pittsburgh, Palo Alto, and Dearborn. Others work fully remotely.
What you’ll do:
- Translate loosely defined questions into clear requirements, metric definitions, and analytical deliverables
- Partner closely with software development teams, test engineering, product, and analytics partners to understand needs and deliver trusted data products
- Build and maintain scalable data models in Google BigQuery and similar cloud data platforms to support reporting, analysis, and operational decision-making
- Develop dashboards and lightweight data applications in Apache Superset, Plotly Dash, or similar tools for technical and business stakeholders
- Investigate source data, identify quality issues, and implement durable fixes that improve accuracy, consistency, and reliability
- Create reusable datasets, testing practices, and documentation that strengthen trust in data and improve self-service access
- Balance near-term dashboard development with long-term data modeling work to support both speed and scale
- Communicate findings, assumptions, and tradeoffs clearly to internal stakeholders and external platform or data partners as needed
What you'll need to succeed:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
- Experience building and maintaining analytics-ready data models in Google BigQuery or a similar cloud data warehouse
- Experience using dbt or a similar data transformation framework to develop tested, documented, and maintainable data pipelines
- Experience designing dashboards and analytical applications in Apache Superset, Tableau, or similar reporting and visualization tools
- Strong SQL skills, including complex transformations, data validation, and query optimization
- Experience with Python for data analysis and application development, including the ability to contribute to and maintain Plotly Dash dashboards
- Demonstrated ability to succeed in ambiguous environments by defining requirements, shaping metrics, and creating structure from incomplete problem statements
- Experience partnering with software development, test engineering, product, or similar cross-functional teams to deliver measurable outcomes
- Strong foundation in data modeling, dashboard design, documentation, and quality assurance practices
- Strong written and verbal communication skills with the ability to explain analytical concepts and findings to varied audiences
Nice to have:
- Experience supporting autonomous vehicle development or other complex hardware and software products
- Experience working with telemetry, operational, or product usage data at scale
- Experience building shared metrics and self-service reporting solutions for engineering and product organizations
- Experience with front-end technologies such as HTML, CSS, JavaScript, or React to support customization and enhancement of data applications and dashboards
What we offer you:
- Competitive compensation packages
- High-quality individual and family medical, dental, and vision insurance
- Health savings account with available employer match
- Employer-matched 401(k) retirement plan with immediate vesting
- Employer-paid group term life insurance and the option to elect voluntary life insurance
- Paid parental leave
- Paid medical leave
- Unlimited vacation
- 15 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- Pre-tax spending accounts for healthcare and dependent care expenses
- Pre-tax commuter benefits
- Monthly wellness stipend
- Adoption/Surrogacy support program
- Backup child and elder care program
- Professional development reimbursement
- Employee assistance program
- Discounted programs that include legal services, identity theft protection, pet insurance, and more
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Learn more about Latitude’s team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Ready to apply?
Apply to Latitude AI
Software Engineer, Autonomy Behaviors
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Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About The Role
Our software team is growing and we are looking for a talented engineer to join our agile, world-class team. In this role you will develop autonomous behaviors for humanoid robots to interact with the world around it. You will work closely with state estimation, navigation, and controls teams to execute behaviors aimed at solving challenging problems in real-world deployments.
About The Work
- Design, implement, test, and deploy autonomous behaviors for humanoid robots
- Prototype autonomous behaviors in simulation and execute on robot hardware
- Develop algorithms robust to environmental uncertainty and imperfect state estimation
- Implement performance tests for evaluating the reliability of robot behaviors
- Contribute to the software architecture and design of the autonomy stack
- Collaborate with members of the autonomy teams to solve complex cross functional problems
- Engineer high quality software that is well tested, reliable and maintainable
About You
- Industry experience deploying mobile manipulation robots in real world applications
- Experience developing manipulation algorithms on high-DOF robots
- Familiarity with behavior trees, finite state machines, or similar behavior management and execution systems
- Experience with perception and scene understanding especially as it pertains to manipulation
- Strong robotics fundamentals, including kinematics, dynamics, sensing, and control
- Experience using simulation tools such as Isaac Sim / Mujoco / Drake / gazebo or similar
- Experience with automated testing for simulation
- Strong debugging skills; the ability to identify and diagnose complex issues that arise within robotics
- Strong software experience in modern C++ and Python
Bonus Qualifications
- Experience working with humanoid (or similar) robots
- Experience leveraging machine learning to improve grasp planning and object manipulation
- Experience in classical robotics motion planning and trajectory optimization algorithms
- MS or Ph.D. in robotics, computer science, or related field or have equivalent industry experience
- Publications in your field (RSS, ICRA, IROS preferred)
We are open to remote candidates, but a prefer this role to be hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Apply Now: https://grnh.se/b444bbd04us
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Apply to Agility Robotics
We seek to move the world forward through innovative thinking.
Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services. We blend design excellence with cutting-edge technology to deliver exceptional client value. Our team is passionate about their work and committed to building the next generation of industry leaders, and as a certified Great Place to Work®, Woolpert embraces progress and innovation to create limitless opportunities for career growth.
Position Overview
Woolpert is hiring a Senior Software Engineer to join our dynamic Atlas Labs team supporting our Geospatial sector. This position reports to the Director of Product and AI. Atlas Labs oversees technology development for Woolpert’s Geospatial sector, including various types of AI model development, R&D, software infrastructure, and user-facing products.
We are unable to provide visa sponsorship for this position. Applicants must already possess work authorization in the country the job is located.
What You Will Do:
- Contribute to the planning, research, design, architecture, development, and testing of Atlas Labs software features. You’ll write code daily, definitely in Python and possibly in C++ or JavaScript.
- Work as part of a cross-functional Scrum team with domain experts in AI/ML, Geospatial Data, Software Engineering, and GIS.
- Collaborate with internal and external users to ensure the correctness, quality, and availability of Atlas Labs software products.
What You Will Bring:
- Meaningful employment experience working on commercial software products
- Experience writing production code in Python, preferably dealing with large datasets
- Demonstrated experience or academic output in a relevant domain:
- Geospatial Data Processing
- Computer Vision
- AI & Machine Learning
- LiDAR
- Robotics/Self-Driving/Autonomy
- General familiarity with relevant technologies:
- Linux, Docker, and GitHub
- AI/ML frameworks (Tensorflow, Pytorch)
- Cloud platforms (Azure, AWS, Google)
Nice to Have:
- Familiarity with GIS applications like ESRI, QGIS, Google Earth
- Familiarity with orchestration frameworks like Kubernetes, AirFlow, MLFlow
- Programming experience in C++ or JavaScript
- Experience with Agile processes like Scrum
Benefits You Will Love
Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:
- Freedom to Work program: Set your own schedule and location (as appropriate).
- Principal program: Earn the opportunity to become an owner of the firm.
- Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
- Career development: Explore a wide range of learning and growth opportunities within and across industries.
- Health, life, vision, and dental insurance: Cover all your medical bases.
- Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!
#LI-Hybrid
Base pay offered may vary depending on job-related knowledge, skills, and experience.
Find out more about what Woolpert has to offer here: http://woolpert.com/about-us/
Woolpert is an equal-opportunity employer. Woolpert is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. You may view more about EEO on our website: Equal-Employment-Opportunity-The-Law.pdf and EEO is the Law Poster Supplement.
Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting askhr@woolpert.com.
If you need to reschedule or cancel your interview, please reach out to your recruiter by contacting recruiting@woolpert.com.
To all agencies: Please, no phone calls or emails to any employee of Woolpert or any of our subsidiaries about this requisition. All resumes submitted by search firms/employment agencies to any employee at Woolpert via email, the internet, or in any form and/or method will be deemed the sole property of Woolpert, unless such search firms/employment agencies were engaged by Woolpert's Talent Acquisition Team for this requisition and a valid agreement is in place. In the event a candidate who was submitted outside of Woolpert's applicant process is hired, no fee or payment of any kind will be paid.
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Senior Hardware Engineer, Lidar
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Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable. We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.
What you’ll do:
- Lead technical development of radar or lidar sensing systems from early concept, benchmarking, and sourcing through production launch
- Define sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs
- Drive sensor benchmarking and technical down-selection across candidate suppliers and technologies
- Lead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments
- Guide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, thermal constraints, power, diagnostics, manufacturability, and cost
- Work cross-functionally with systems, perception, firmware, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs
- Review test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions
- Assess whether supplier evidence is technically credible by reviewing test conditions, assumptions, filtering, sample quality, boundary cases, repeatability, and alignment to sensor physics and system requirements
- Lead technical reviews and challenge unsupported claims, weak correlation, incomplete validation, and conclusions that do not match observed data or first-principles behavior
- Establish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch
- Communicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners
What you'll need to succeed:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)
- 8+ years of experience in automotive sensing, with deep hands-on expertise in either radar or lidar and demonstrated technical leadership on complex hardware programs
- Strong first-principles understanding of the relevant sensing modality:
- Radar: RF fundamentals, range/Doppler/angle estimation, resolution, interference, multipath, ghosting, calibration, synchronization, and environmental effects
- Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness
- Strong scripting and analysis capability in python, including hands-on use of NumPy, pandas, Jupyter, and similar tools to parse logs, evaluate sensor performance, trend issues, and build repeatable analysis workflows
- Ability to work directly with sensor data and debug artifacts, including supplier logs, raw captures, decoded outputs, and vehicle test datasets, and determine whether the data is complete, valid, and physically credible
- Practical experience with day-to-day engineering tools such as Wireshark/PCAP analysis, CAN tools (CANoe/CANalyzer or similar), ROS/rosbag or equivalent logging frameworks, point cloud or radar visualization tools, and common automotive data interfaces such as CAN, CAN FD, and automotive Ethernet
- Ability to independently judge whether supplier test results are correct by evaluating test setup, calibration state, ground truth method, statistical significance, repeatability, boundary conditions, applied filters, KPI definitions, and consistency with known sensor behavior
- Ability to lead and critically assess technical design reviews (TDRs) by identifying weak assumptions, incomplete validation, inconsistent requirements traceability, misleading metrics, and conclusions that are not supported by the underlying data
- Experience translating system and perception needs into sensor requirements, validation methods, and supplier deliverables
- Experience working across hardware, firmware, systems, perception, validation, manufacturing, and supplier teams to drive root cause and resolution
- Strong technical judgment and communication skills, with the ability to make and defend tradeoffs across performance, cost, timing, integration, and reliability
Nice to have:
- Master’s degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field
- Experience leading supplier nomination, sourcing, or technical selection for radar or lidar hardware
- Experience bringing radar or lidar systems into automotive production
- Familiarity with DV/PV, DFMEA, APQP, PPAP, functional safety, automotive quality processes, and production release expectations
- Working knowledge of perception, tracking, calibration, and downstream use of radar or lidar data in automated driving systems
- Experience supporting multiple vehicle platforms or series-production programs
What we offer you:
- Competitive compensation packages
- High-quality individual and family medical, dental, and vision insurance
- Health savings account with available employer match
- Employer-matched 401(k) retirement plan with immediate vesting
- Employer-paid group term life insurance and the option to elect voluntary life insurance
- Paid parental leave
- Paid medical leave
- Unlimited vacation
- 15 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- Pre-tax spending accounts for healthcare and dependent care expenses
- Pre-tax commuter benefits
- Monthly wellness stipend
- Adoption/Surrogacy support program
- Backup child and elder care program
- Professional development reimbursement
- Employee assistance program
- Discounted programs that include legal services, identity theft protection, pet insurance, and more
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Learn more about Latitude’s team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $191,920 - $287,880 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Ready to apply?
Apply to Latitude AI
Senior Hardware Engineer, Radar
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Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable. We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.
What you’ll do:
- Lead technical development of radar or lidar sensing systems from early concept, benchmarking, and sourcing through production launch
- Define sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs
- Drive sensor benchmarking and technical down-selection across candidate suppliers and technologies
- Lead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments
- Guide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, thermal constraints, power, diagnostics, manufacturability, and cost
- Work cross-functionally with systems, perception, firmware, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs
- Review test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions
- Assess whether supplier evidence is technically credible by reviewing test conditions, assumptions, filtering, sample quality, boundary cases, repeatability, and alignment to sensor physics and system requirements
- Lead technical reviews and challenge unsupported claims, weak correlation, incomplete validation, and conclusions that do not match observed data or first-principles behavior
- Establish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch
- Communicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners
What you'll need to succeed:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)
- 8+ years of experience in automotive sensing, with deep hands-on expertise in either radar or lidar and demonstrated technical leadership on complex hardware programs
- Strong first-principles understanding of the relevant sensing modality:
- Radar: RF fundamentals, range/Doppler/angle estimation, resolution, interference, multipath, ghosting, calibration, synchronization, and environmental effects
- Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness
- Strong scripting and analysis capability in python, including hands-on use of NumPy, pandas, Jupyter, and similar tools to parse logs, evaluate sensor performance, trend issues, and build repeatable analysis workflows
- Ability to work directly with sensor data and debug artifacts, including supplier logs, raw captures, decoded outputs, and vehicle test datasets, and determine whether the data is complete, valid, and physically credible
- Practical experience with day-to-day engineering tools such as Wireshark/PCAP analysis, CAN tools (CANoe/CANalyzer or similar), ROS/rosbag or equivalent logging frameworks, point cloud or radar visualization tools, and common automotive data interfaces such as CAN, CAN FD, and automotive Ethernet
- Ability to independently judge whether supplier test results are correct by evaluating test setup, calibration state, ground truth method, statistical significance, repeatability, boundary conditions, applied filters, KPI definitions, and consistency with known sensor behavior
- Ability to lead and critically assess technical design reviews (TDRs) by identifying weak assumptions, incomplete validation, inconsistent requirements traceability, misleading metrics, and conclusions that are not supported by the underlying data
- Experience translating system and perception needs into sensor requirements, validation methods, and supplier deliverables
- Experience working across hardware, firmware, systems, perception, validation, manufacturing, and supplier teams to drive root cause and resolution
- Strong technical judgment and communication skills, with the ability to make and defend tradeoffs across performance, cost, timing, integration, and reliability
Nice to have:
- Master’s degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field
- Experience leading supplier nomination, sourcing, or technical selection for radar or lidar hardware
- Experience bringing radar or lidar systems into automotive production
- Familiarity with DV/PV, DFMEA, APQP, PPAP, functional safety, automotive quality processes, and production release expectations
- Working knowledge of perception, tracking, calibration, and downstream use of radar or lidar data in automated driving systems
- Experience supporting multiple vehicle platforms or series-production programs
What we offer you:
- Competitive compensation packages
- High-quality individual and family medical, dental, and vision insurance
- Health savings account with available employer match
- Employer-matched 401(k) retirement plan with immediate vesting
- Employer-paid group term life insurance and the option to elect voluntary life insurance
- Paid parental leave
- Paid medical leave
- Unlimited vacation
- 15 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- Pre-tax spending accounts for healthcare and dependent care expenses
- Pre-tax commuter benefits
- Monthly wellness stipend
- Adoption/Surrogacy support program
- Backup child and elder care program
- Professional development reimbursement
- Employee assistance program
- Discounted programs that include legal services, identity theft protection, pet insurance, and more
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Learn more about Latitude’s team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $191,920 - $287,880 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Ready to apply?
Apply to Latitude AI
Senior Hardware Engineer, Reliability & Test
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Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable. We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.
What you’ll do:
- Test Strategy & Compliance: Lead the development of Design Verification (DV) and Production Validation (PV) plans. Ensure all hardware-level testing aligns with Ford automotive standards (CETP) and international standards such as ISO 16750 and ISO 26262
- Sensor Validation: Execute and oversee comprehensive testing for sensing modalities including Camera (optics/image quality), Radar (RF performance), Lidar (point cloud accuracy), IMU, and GPS/GNSS
- Reliability Engineering: Conduct environmental and mechanical stress testing (thermal cycling, vibration/shock, humidity, ingress protection, and EMC/EMI) to determine Mean Time To Failure (MTTF) and ensure 10-year/150,000-mile durability
- Vendor & Lab Management: Act as the primary technical point of contact for Tier 1 suppliers and external test labs. Manage the statement of work (SOW), audit lab setups, and ensure external testing is executed to Ford’s precision requirements
- Test Automation & Scripting: Develop and maintain automated test scripts (Python, MATLAB, or Bash) to streamline data acquisition, sensor calibration, and post-processing of large datasets
- Data Analysis & Reporting: Review and interpret complex test results. Perform root cause analysis (RCA) on hardware failures and work closely with design teams to implement hardware revisions
- Cross-Functional Leadership: Mentor junior engineers and collaborate with Systems Engineering, Perception Teams, and Manufacturing to ensure sensor hardware integrates seamlessly into the vehicle platform
What you'll need to succeed:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
- Minimum of seven years of professional experience in hardware testing or reliability engineering.
- Extensive experience testing sensing technologies such as cameras, radar, lidar
- Proficiency in writing scripts using Python or similar languages for data analysis and automation.
- Demonstrated ability to manage projects involving external laboratories and global suppliers.
- Expertise in applying standardized automotive engineering test procedures for environmental and mechanical durability.
- Strong analytical skills for identifying the root cause of hardware malfunctions in automotive electronics.
Nice to have:
- Direct experience in hardware product development for automotive with a focus on sensing products
- Direct experience/exposure to product development of silicon products such as transceivers, imagers, MCUs
- Manufacturing or industrialization of electronics products
What we offer you:
- Competitive compensation packages
- High-quality individual and family medical, dental, and vision insurance
- Health savings account with available employer match
- Employer-matched 401(k) retirement plan with immediate vesting
- Employer-paid group term life insurance and the option to elect voluntary life insurance
- Paid parental leave
- Paid medical leave
- Unlimited vacation
- 15 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- Pre-tax spending accounts for healthcare and dependent care expenses
- Pre-tax commuter benefits
- Monthly wellness stipend
- Adoption/Surrogacy support program
- Backup child and elder care program
- Professional development reimbursement
- Employee assistance program
- Discounted programs that include legal services, identity theft protection, pet insurance, and more
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Learn more about Latitude’s team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $160,000 - $240,000 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Ready to apply?
Apply to Latitude AI
Senior Embedded Software Engineer
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Mission Summary:
Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.
What You'll Be Doing:
- Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
- Design test harnesses for embedded software components and full systems
- Provide technical mentorship to engineers.
- Proactively work with cross-functional engineering teams to solve complex and interesting problems.
What We're Looking For:
- Experience with creating detailed requirements from use cases.
- Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
- Experience writing software for embedded platforms in C and C++.
- Experience with Test-Driven Development (TDD).
- Experience working on embedded Linux / RTOSs.
- Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
- Experience with debugging on embedded platforms.
- Experience writing software in Python and experience doing automation with shell scripting.
- Experience working with ARM Cortex MCUs or Microprocessors.
Bonus Points (not required):
- Experience working with large data pipelines, and platforms that require deterministic execution.
- Experience using inter-system communication protocols such as I2C and SPI
- Experience deploying Machine Learning models.
- Experience working with GPUs.
- Experience working directly with the Linux kernel or Device Drivers.
- Experience with Simulation and Code Generation, and knowing when their use is appropriate.
- Experience working with Bazel.
- Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
- Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Embedded Software Engineer
Share this job
Mission Summary:
Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.
What You'll Be Doing:
- Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
- Design test harnesses for embedded software components and full systems
- Provide technical mentorship to engineers.
- Proactively work with cross-functional engineering teams to solve complex and interesting problems.
What We're Looking For:
- Experience with creating detailed requirements from use cases.
- Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
- Experience writing software for embedded platforms in C and C++.
- Experience with Test-Driven Development (TDD).
- Experience working on embedded Linux / RTOSs.
- Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
- Experience with debugging on embedded platforms.
- Experience writing software in Python and experience doing automation with shell scripting.
- Experience working with ARM Cortex MCUs or Microprocessors.
Bonus Points (not required):
- Experience working with large data pipelines, and platforms that require deterministic execution.
- Experience using inter-system communication protocols such as I2C and SPI
- Experience deploying Machine Learning models.
- Experience working with GPUs.
- Experience working directly with the Linux kernel or Device Drivers.
- Experience with Simulation and Code Generation, and knowing when their use is appropriate.
- Experience working with Bazel.
- Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
- Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Embedded Software Engineer
Share this job
Mission Summary:
Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.
What You'll Be Doing:
- Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
- Design test harnesses for embedded software components and full systems
- Provide technical mentorship to engineers.
- Proactively work with cross-functional engineering teams to solve complex and interesting problems.
What We're Looking For:
- Experience with creating detailed requirements from use cases.
- Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
- Experience writing software for embedded platforms in C and C++.
- Experience with Test-Driven Development (TDD).
- Experience working on embedded Linux / RTOSs.
- Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
- Experience with debugging on embedded platforms.
- Experience writing software in Python and experience doing automation with shell scripting.
- Experience working with ARM Cortex MCUs or Microprocessors.
Bonus Points (not required):
- Experience working with large data pipelines, and platforms that require deterministic execution.
- Experience using inter-system communication protocols such as I2C and SPI
- Experience deploying Machine Learning models.
- Experience working with GPUs.
- Experience working directly with the Linux kernel or Device Drivers.
- Experience with Simulation and Code Generation, and knowing when their use is appropriate.
- Experience working with Bazel.
- Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
- Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Staff Robotics Software Engineer, Object Perception
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Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About the Role
We are looking for a Staff Robotics Software Engineer to join our Skills team, focusing on object perception for robot manipulation. This technical leadership role is deeply rooted in production robotics, where reliability, performance, and system behavior matter most. You will focus on integrating, adapting, and operationalizing perception systems within a full robotic stack, ensuring they perform robustly on real hardware in real environments.
In this high-impact role, you will act as a key decision-maker within the perception and skills stack, helping define system architecture, design principles, and technical direction across how perception connects to planning, control, and execution. You will shape how these systems come together end-to-end, influencing both current execution performance and the long-term scalability of the platform.
You will also work closely with AI/ML teams, evaluating and incorporating both learned and classical approaches, while driving the engineering decisions that turn models and algorithms into reliable, production-grade robot behavior.
About the Work
- Own object perception performance on the robot, from sensors through runtime behavior integration
- Lead the design, implementation, and deployment of perception pipelines for manipulation, including object pose estimation, depth reasoning, and scene understanding
- Work hands-on with real robots to debug, tune, and harden perception systems under real-world variability
- Collaborate with AI/ML teams to evaluate, integrate, train, and fine-tune perception models
- Explore and integrate off-the-shelf perception solutions and libraries where they meet performance and reliability needs
- Combine learned models with classical CV, geometry, and task structure to meet system-level requirements
- Define interfaces and contracts between perception, behaviors, and task planning to ensure reliable execution
- Build tools and workflows to evaluate perception performance across datasets, simulation, and hardware
- Help set technical direction and best practices for building robust, production-grade perception systems that are reliable, debuggable, and scalable in real-world robotic environments
About You
- B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field
- 8+ years of professional experience building object perception systems for real robotic platforms
- Demonstrated experience as a tech lead or senior technical owner for complex robotics projects
- Experience working across learned models and classical perception approaches
- Experience training, fine-tuning, and evaluating perception models
- Strong experience writing production-quality C++ and Python code
- Hands-on experience with monocular vision, stereo vision, RGB-D sensing, or depth reconstruction
- Experience with perception libraries (OpenCV, Open3D, PCL, ROS perception, NumPy, scikit-image)
- You love solving hard perception problems, but your real passion is seeing those solutions work on a robot in the real world and having an impact
- You’re excited to work on hardware
- You enjoy debugging, testing, and iterating quickly in simulation and on the real robot
You Might Also Have
- Solid understanding of spatial reasoning
- Demonstrated ability to apply object perception model outputs (detection, segmentation, pose estimation) in manipulation pipelines
- Experience with structured 3D estimation (plane fitting, normal estimation, voxel maps, etc)
This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Apply Now: https://grnh.se/b444bbd04us
Ready to apply?
Apply to Agility Robotics
Staff Engineer, Platform Engineering
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Mission Summary:
As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.
What you'll be doing:
- Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
- Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
- Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
- Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
- Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
What we're looking for:
- Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
- 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
- Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
- Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
- Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
- Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
- Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
Bonus points (not required):
- Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
- Prior experience with large-scale machine learning training pipelines
- Experience leading technical projects in a globally distributed team
- Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Staff Engineer, Platform Engineering
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Mission Summary:
As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.
What you'll be doing:
- Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
- Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
- Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
- Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
- Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
What we're looking for:
- Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
- 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
- Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
- Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
- Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
- Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
- Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
Bonus points (not required):
- Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
- Prior experience with large-scale machine learning training pipelines
- Experience leading technical projects in a globally distributed team
- Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Staff Engineer, Platform Engineering
Share this job
Mission Summary:
As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.
What you'll be doing:
- Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
- Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
- Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
- Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
- Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
What we're looking for:
- Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
- 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
- Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
- Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
- Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
- Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
- Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
Bonus points (not required):
- Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
- Prior experience with large-scale machine learning training pipelines
- Experience leading technical projects in a globally distributed team
- Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
Duolingo's Monetization pillar builds the systems that fund our mission — from subscription packaging and advertising to ML-powered personalization, performance marketing, and beyond. As a Senior Engineering Manager, you'll lead a cross-functional product engineering team working on high-impact, revenue-generating systems that help Duolingo grow sustainably while keeping the product playful, transparent, and learner-first. Your team will build and scale systems across ads and paid growth — building signal and audience pipelines, powering creative experimentation, improving ad quality, optimizing budget allocation, and strengthening attribution and ROI guardrails. You'll partner closely with product, design, data science, machine learning, and marketing to define strategy and deliver results. Just as importantly, you'll create an environment where engineers do the best work of their careers — coaching, developing talent, and fostering a high-performing team culture.
🧠 You will...
- Co-lead a cross-functional pod with Product and Marketing to define strategy, success metrics, and an execution roadmap for Duolingo’s performance marketing engine, aligned to ROI guardrails and retained-user growth goals.
- Build and evolve the engineering systems that power paid growth at scale: creative experiment frameworks, audience/signal ingestion and privacy-safe list management, budget and bid optimization tooling, and reliable attribution and reporting pipelines.
- Collaborate with data science and ML partners to design experiments, apply personalization/targeting, and translate insights into product improvements and bookings growth.
- Own planning and execution for projects that directly impact revenue; identify the right team‑level metrics to optimize and protect delivery through clear milestones and risk management.
- Bring both technical and product perspectives to new ideas, enabling rapid hypothesis testing without sacrificing reliability, observability, or long‑term maintainability.
- Set and uphold engineering quality standards and practices that improve reliability, scalability, and operability across Ads systems.
✅ You have...
- Experience leading, managing, and building a team of software engineers.
- A track record of owning multi‑engineer, multi‑week technical projects to successful outcomes in a highly experimental, data‑driven environment.
- Strong product instincts and excellent written/verbal communication, with experience aligning diverse stakeholders across engineering, product, design, and analytics.
- Experience working closely with data, experimentation, or machine learning teams to inform prioritization and ship measurable impact (direct ML expertise not required).
- Demonstrated ability to raise the bar on engineering practices for reliability, scalability, and observability.
⭐ Exceptional candidates will have...
- Prior experience with advertising platforms, ad tech integrations, or building ad surfaces in mobile apps.
- Experience improving ad quality and monetization through experimentation, targeting, or programmatic levers, in partnership with business teams.
- Familiarity with COPPA‑compliant or kid‑friendly ad solutions and the trade‑offs of untargeted inventory.
- Background collaborating with sales/biz ops on direct or programmatic campaigns and translating market feedback into product improvements.
- Experience leading teams that span multiple platforms (iOS, Android, backend) and partnering on ML‑powered personalization within consumer apps.
We post a multi-level salary range for all of our roles.
This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
Ready to apply?
Apply to Duolingo
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
Duolingo's Monetization pillar builds the systems that fund our mission — from subscription packaging and advertising to ML-powered personalization, performance marketing, and beyond. As a Senior Engineering Manager, you'll lead a cross-functional product engineering team working on high-impact, revenue-generating systems that help Duolingo grow sustainably while keeping the product playful, transparent, and learner-first. Your team will build and scale systems across ads and paid growth — building signal and audience pipelines, powering creative experimentation, improving ad quality, optimizing budget allocation, and strengthening attribution and ROI guardrails. You'll partner closely with product, design, data science, machine learning, and marketing to define strategy and deliver results. Just as importantly, you'll create an environment where engineers do the best work of their careers — coaching, developing talent, and fostering a high-performing team culture.
🧠 You will...
- Co-lead a cross-functional pod with Product and Marketing to define strategy, success metrics, and an execution roadmap for Duolingo’s performance marketing engine, aligned to ROI guardrails and retained-user growth goals.
- Build and evolve the engineering systems that power paid growth at scale: creative experiment frameworks, audience/signal ingestion and privacy-safe list management, budget and bid optimization tooling, and reliable attribution and reporting pipelines.
- Collaborate with data science and ML partners to design experiments, apply personalization/targeting, and translate insights into product improvements and bookings growth.
- Own planning and execution for projects that directly impact revenue; identify the right team‑level metrics to optimize and protect delivery through clear milestones and risk management.
- Bring both technical and product perspectives to new ideas, enabling rapid hypothesis testing without sacrificing reliability, observability, or long‑term maintainability.
- Set and uphold engineering quality standards and practices that improve reliability, scalability, and operability across Ads systems.
✅ You have...
- Experience leading, managing, and building a team of software engineers.
- A track record of owning multi‑engineer, multi‑week technical projects to successful outcomes in a highly experimental, data‑driven environment.
- Strong product instincts and excellent written/verbal communication, with experience aligning diverse stakeholders across engineering, product, design, and analytics.
- Experience working closely with data, experimentation, or machine learning teams to inform prioritization and ship measurable impact (direct ML expertise not required).
- Demonstrated ability to raise the bar on engineering practices for reliability, scalability, and observability.
⭐ Exceptional candidates will have...
- Prior experience with advertising platforms, ad tech integrations, or building ad surfaces in mobile apps.
- Experience improving ad quality and monetization through experimentation, targeting, or programmatic levers, in partnership with business teams.
- Familiarity with COPPA‑compliant or kid‑friendly ad solutions and the trade‑offs of untargeted inventory.
- Background collaborating with sales/biz ops on direct or programmatic campaigns and translating market feedback into product improvements.
- Experience leading teams that span multiple platforms (iOS, Android, backend) and partnering on ML‑powered personalization within consumer apps.
We post a multi-level salary range for all of our roles.
This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
Ready to apply?
Apply to Duolingo
About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
As a Senior Software Engineer on the Tracking Team, you will drive the delivery of both classical and machine learning solutions to core tracking challenges within our self-driving system. A central function of the tracking team is the real-time, temporally consistent estimation of the local scene (including actors, obstacles, and map features) based on a history of sensor data. In this role, you will be instrumental in the design and delivery of algorithms and models that run onboard the AV, evaluating the perception system's performance against production requirements, and contributing to the long-term technical vision of the team.
Responsibilities:
- Work in a team to deliver state-of-the-art closed- and open- world tracking systems for L4 self-driving vehicles.
- Contribute to the technical direction of the tracking team and broader perception org.
- Write robust software for real-time, resource-constrained, safety-critical applications.
- Drive highly cross-functional features and work streams from problem statement to delivery.
- Proactively identify limitations with the existing perception system and drive improvements.
- Root-cause issues that arise onboard, and provide solutions.
- Align stakeholders with strong presentation and communication skills.
- Lead challenging technical topics and build consensus.
Qualifications:
- Experience architecting, training, and deploying ML models into real-world environments.
- Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
- Experience delivering perception/tracking solutions for real-time robotic applications.
- Knowledge and experience employing advanced probabilistic algorithms to solve problems involving uncertain inputs and imperfect models.
- Strong experience in software engineering and algorithm design.
- Fluency in Python and C++.
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.
Ready to apply?
Apply to Stack AV
Staff ML Engineer, Dynamic World Perception
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About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
The Dynamic World Perception team is responsible for real-time detection of road actors and properties. This includes developing occupancy networks and other perception algorithms to accurately identify and classify all dynamic elements within the driving environment. We're looking for a Staff or Senior Engineer to lead the development, maintenance, and enhancement of our long-range detection capabilities, ensuring the required safety and performance standards are met or exceeded.
Responsibilities:
- Lead initiatives in the team to deliver state-of-the-art closed-and open-world detection capabilities.
- Contribute to expansion and fusion of existing detection models to support improving performance and extending performance at range.
- Contribute to improvement of model frameworks, architecture, and data pipelines.
- Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments.
- Drive highly cross-functional features and workstreams from problem statement to delivery.
- Contribute to the technical direction of the team and broader perception org.
- Align stakeholders with strong presentation and communication skills.
- Lead challenging technical topics and build consensus.
Qualifications:
- Extensive experience architecting, training, and deploying deep learning models into real-world environments.
- Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
- Experience delivering detection, segmentation, and/or tracking solutions for real-time robotic applications. Prior experience in sensor fusion is highly desirable.
- Strong experience in software engineering and machine learning algorithm design.
- Fluency in Python.
- Experience with C++.
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.
Ready to apply?
Apply to Stack AV
Senior Software Engineer, Backend Infrastructure (Labeling)
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About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
As a Labeling Infrastructure Backend Engineer, you will design, build, and scale the mission-critical systems that power our data flywheel. You will be responsible for the high-performance architecture that manages massive datasets, orchestrates complex human-in-the-loop workflows, and integrates seamlessly with our machine learning pipelines. Your work ensures that our labeling operations are fast, reliable, and capable of handling the next order of magnitude in data volume.
- Architect Scalable Systems: Design and maintain robust, distributed backend services capable of managing millions of labeling tasks and high-throughput data streams with minimal latency.
- Optimize Data Pipelines: Build and refine processes to ingest raw data from diverse sources and deliver high-quality labeled outputs to model training environments.
- ML Integration: Implement "Active Learning" and "Model-in-the-loop" features, enabling automated pre-labeling and intelligent task prioritization to maximize human efficiency.
- API Development: Develop and document clean, performant APIs that serve as the bridge between our front-end labeling tools, third-party vendors, and internal ML platforms.
- Infrastructure & DevOps: Manage cloud-native infrastructure to ensure 99.9+% availability, focusing on observability, automated scaling, and cost-efficiency.
- Cross-Functional Collaboration: Partner with AI team and Product Managers to translate complex data requirements into technical specifications and durable backend solutions.
Responsibilities:
- Play a key role in designing and building the next generation of Stack’s Labeling Infrastructure.
- Implement robust architecture to track the lifecycle of every log from unlabeled to production-ready.
- Build scalable backend services for automated QA to and AI-assisted labeling plugins.
- Write high quality Python and SQL.
Qualifications:
- Proven track record of building scalable, reliable infrastructure in a fast-paced environment.
- Ability to collaborate effectively across teams.
- Strong development experience with Python and SQL.
- Prior experience with Trino, Flyte / Airflow, and Kubernetes are a plus.
- Prior experience with ML Ops workflows is a plus.
- Prior experience building and managing data platforms for multimodal ML needs is a plus.
- Prior experience with agentic workflows is a plus.
- Prior experience in autonomous vehicles (AV) is a plus.
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.
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About Us
Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.
If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
About You
As a Solutions Engineer at Gather AI, you will contribute to our efforts to expand market reach, drive revenue growth, and establish strategic partnerships with clients seeking to unlock the potential of AI-driven insights. You will contribute materially to supporting a high-performing sales team and collaborate closely with cross-functional stakeholders to drive the adoption of our transformative technology solutions.
We’re looking for a passionate, pre-sales engineer with demonstrated success in enterprise sales of automation solutions. Experience in warehouse automation/supply chain/logistics technology. You will be comfortable working in a fast-paced start-up/scale up environment, be an independent self-starter and have previous experience in scaling a sales organization. You will be empowered to make a tangible impact at a company where innovative ideas are valued and contributions make a difference.
What You'll Do
- Drive high growth sales while expanding our market presence across the US.
- Support strategic sales plans to achieve revenue targets and drive market penetration in key sectors and geographic markets.
- Support sales in identifying and pursuing new business opportunities, including strategic partnerships, alliances, and enterprise sales opportunities.
- Build and maintain strong relationships with clients, understanding their business challenges and objectives to provide tailored AI solutions that deliver measurable value.
- Track technical sales metrics and trends to ensure continued growth
- Support sales in developing business cases and gaining alignment from technical and operational decision makers
- Develop technical objection handling guidelines to support the sales team in effectively articulating the value proposition of Gather AI's solutions and overcoming customer objections.
- Stay abreast of industry trends, competitive dynamics, and customer needs to inform sales strategies and tactics effectively.
- Collaborate closely with product management, marketing, and other internal teams to align sales efforts with product development, marketing campaigns, and business objectives
What You'll Need
- Bachelor's degree in engineering, or a related field
- 3+ years of experience in enterprise sales in supply chain technology or robotics industry.
- Have a working knowledge of the following and ability to understand customer needs in these areas:
- Demonstrated success in selling high-value, complex solutions to enterprise clients, with a focus on consultative selling and ROI-based discussions.
- Strong understanding of supply chain operations, logistics, and related challenges.
- Proven track record of success in application engineering pre-sales roles.
- Understanding of AI, machine learning, and data analytics, with the ability to articulate complex technical concepts to non-technical audiences.
- Proficiency in using CRM tools to manage and track sales activities
- Strong team collaboration skills with a track record of activating commercial teams to achieve high sales performance.
- Excellent communication and presentation skills, with the ability to influence and persuade key stakeholders at all levels.
- Strategic thinker with a results-oriented mindset and a passion for driving growth and innovation.
- Entrepreneurial spirit with the ability to thrive in a fast-paced, dynamic environment.
Bonus points for...
- Experience collaborating in enterprise selling methods, especially in industrial automation
- Experience in buying and implementing automation at a major ecommerce, retail, or logistics company
- Startup experience, and/or experience working in fast-paced environments
- Advanced degree in business, marketing, engineering, or a related fiel
Compensation and Benefits
- Compensation package will include equity
- Comprehensive medical, dental, vision and life insurance
- Very flexible schedule
- Unlimited PTO and flexible scheduling
If this sounds like a good fit we’d love to meet you. Robotics is the future and we’re leading the charge with our software-only business model. Come help us change the world!
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AI Engineer, Internal Enablement & Productivity
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Company Description
Job Description
We are seeking an experienced AI Engineer to join our AI Enablement team, focused on rapidly increasing internal employee productivity and operational efficiency across the company by scaling robust AI integrations and agentic workflows. This role will be central to designing and deploying agents to handle complex, end-to-end tasks, driving measurable improvements in how our core teams (e.g., Product, Engineering, Operations, and Customer Success) work. This strategic and execution-focused role will lead our internal AI Enablement roadmap, initially focusing deeply on improving core departments (e.g., Sales, Marketing, Product, Engineering, Operations, and Customer Success) through agentic automation.
You'll leverage best-in-class AI tools and AI agents (e.g. Gemini and other LLMs) to dramatically increase employee productivity, drive down operational costs, and enable our teams to deliver faster, better outcomes at scale. Your goal is to build our foundation for an AI-enabled future, implementing AI-driven workflows and agents throughout the organization, starting with internal operations and coupling workflows across key functions like GTM.To do this job well, we are looking for someone who can demonstrate project(s) built on LLMs that showcases your skill at reliably automating complex tasks.
- Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
- Experience integrating and working with agent frameworks (e.g. Claude Agent SDK, Google Anti-Gravity, OpenAI Agent SDK)
- Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
- Experience working in highly ambiguous environments, and operate with urgency
- Startup experience, particularly in scaling products from zero to one
Strong Candidates have:
- Deep experience leveraging agents across applications and business workflows to drive meaningful impact
- Experience designing and deploying complex agentic systems using LLMs (e.g. deep research)
- Hands-on work with multi-agent coordination, routing, and tool orchestration
This role is a full-time position located out of our office in Arlington, VA or Pittsburgh, PA. This role may require up to 25% travel.
Scope of Responsibilities
- Designs and builds multi-agent systems with tool use, memory, routing, and planning to automate internal business processes and enhance employee capabilities.
- Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing to increase internal team velocity.
- Contribute to the technical architecture and engineering standards for internal agentic systems, ensuring scalability, reliability, and maintainability across the organization.
- Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle to ensure reliable internal tools.
- Partner with internal Product, Engineering, GTM, and Operations teams to identify and implement AI-driven solutions to optimize their workflows and reduce operational costs.
How We Define Success (Key Metrics)Internal Team Enablement (Operations, Customer Success, Engineering)
- Operational Cost Savings: Reduce operational expenses for targeted teams through workflow automation via AI agents.
- Employee Productivity: Achieve measurable increases in internal team capacity and velocity through AI-driven workflows and tools.
- Internal Adoption Rate: Achieve a high adoption rate of new AI agents and enablement tools within key departments within the first 90 days.
- Accelerated Development: Reduce feature development timelines through AI-assisted coding, documentation, and testing tools.
Qualifications
- U.S. Citizenship is required
Required Skills:
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- Minimum 3 years of experience building and deploying ML or LLM-powered systems in production environments
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python and other programming languages
- Experience with common LLM algorithms and implementations, including coding agents (e.g. Claude Code and GenAI coding best practices).
- Hands-on experience with cloud infrastructure (e.g. AWS, GCP)
- A strong desire to learn and investigate new technologies
- Familiarity with Git source control management
- Ability to work collaboratively with little supervision
- A burning desire to work in a challenging fast-paced tech environment
- A burning desire to work in a challenging fast-paced tech environment
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience with modern front-end frameworks (e.g., React, Next.js, or similar) and API-driven UI architectures
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Senior AI Engineer, Agent Workflows
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Company Description
Job Description
We are seeking an experienced AI Engineer to join our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.
In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to do complex tasks.
- Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
- Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
- Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
- Experience working in highly ambiguous environments, and operate with urgency
- Startup experience, particularly in scaling products from zero to one
Strong Candidates have:
- Experience designing and deploying complex agentic systems using LLMs
- Hands-on work with multi-agent coordination, routing, and tool orchestration
- Love coding agents
This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Designs and builds multi-agent systems with tool use, memory, routing, and planning
- Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing
- Own the technical architecture and engineering standards for agentic systems, ensuring scalability, reliability, and maintainability
- Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle
- Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems
Qualifications
- U.S. Citizenship is required
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- 5+ years of progressive experience designing, building, and deploying production-grade machine learning or LLM-powered systems, with demonstrated ownership of end-to-end delivery
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python
- Experience with common LLM algorithms and implementations
- Hands-on experience with AWS and cloud infrastructure
- A strong desire to learn and investigate new technologies
- Familiarity with Git source control management
- Ability to work collaboratively with little supervision
- A burning desire to work in a challenging fast-paced tech environment
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience with modern front-end frameworks (e.g., React, Next.js, or similar) and API-driven UI architectures
- Comfortable with Claude Code and GenAI coding best practices.
Ready to apply?
Apply to Govini
Company Description
Job Description
We are seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring structure to complex defense acquisition data. Working alongside data engineers and data scientists, domain experts, and product teams, you'll create semantic models that provide structured knowledge to AI systems and enable effective search, classification, and analysis across Govini's Ark platform.
This role requires systematic analytical thinking, strong communication skills, and a passion for combining theoretical rigor with practical implementation. The ideal candidate brings hands-on experience in taxonomy and ontology development, along with the ability to guide teams in adopting semantic technologies.This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Build and maintain ontologies, taxonomies, and controlled vocabularies for defense acquisition domains
- Map unstructured data to structured semantic models that integrate with Ark's data infrastructure
- Establish metadata standards and modeling guidelines in collaboration with data engineering and data science teams
- Partner with product and domain experts to translate business requirements into semantic solutions
- Document semantic models and provide guidance to support team adoption and effective use
- Help drive organization-wide understanding and adoption of semantic technologies and best practices.
- Track adoption and measure impact, continuously refining models, tools, and practices
Qualifications
- U.S. Citizenship is required
- Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field
- 3+ years of experience developing ontologies, taxonomies, or knowledge graphs
- Hands-on experience with ontology editors (e.g., Protégé, TopBraid) and graph databases (e.g., Neo4j, RDF stores)
- Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL)
- Proven ability to collaborate with technical and non-technical stakeholders to translate requirements into semantic models
- Understanding of how AI/ML and generative AI systems leverage structured knowledge and ontologies
- Active U.S. security clearance or ability to obtain one
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Master’s degree in Data Science, Computer Science, Information Systems, or a related field
- Familiarity with defense acquisition data and processes
- Experience with data modeling, schema design, or metadata management
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Senior AI Engineer, Agentic Interactions
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Company Description
Job Description
We are seeking an experienced AI Engineer to join our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to interact with all Ark interfaces in an agentic manner as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.
In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to interact with frontend interfaces agentically.
Experience designing front-end architectures with explicit state and action models suitable for AI-driven interaction (agent-controlled UI, tool invocation, and deterministic workflows).
- Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
- Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
- Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
- Experience working in highly ambiguous environments, and operate with urgency
- Startup experience, particularly in scaling products from zero to one
Strong Candidates have:
- Experience designing and deploying complex agentic systems using LLMs
- Hands-on work with multi-agent coordination, routing, and tool orchestration
- Love coding agents
This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Designs and builds multi-agent systems with tool use, memory, routing, and planning
- Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing
- Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle
- Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems
Qualifications
- U.S. Citizenship is required
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- 5+ years of progressive experience designing, building, and deploying production-grade machine learning or LLM-powered systems, with demonstrated ownership of end-to-end delivery
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python
- Experience with common LLM algorithms and implementations
- Hands-on experience with AWS and cloud infrastructure
- A strong desire to learn and investigate new technologies
- Familiarity with Git source control management
- Ability to work collaboratively with little supervision
- A burning desire to work in a challenging fast-paced tech environment
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Comfortable with Claude Code and GenAI coding best practices.
Ready to apply?
Apply to Govini
Company Description
Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.
Job Description
We are seeking an experienced Lead AI Engineer to lead our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end and/or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.
In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to do complex tasks.
- Experience leading agentic system development from ideation through production, including technical design, architecture decisions, and day-to-day leadership of Data Scientists and Machine Learning Engineers
- Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
- Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
- Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
- Experience working in highly ambiguous environments, and operating with urgency
- Lead Agile ceremonies and technical planning for the Agentic AI team
Strong Candidates have:
- Experience designing and deploying complex agentic systems using LLMs
- Hands-on work with multi-agent coordination, routing, and tool orchestration
- Passion for building autonomous and semi-autonomous systems that solve real customer problems
This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Designs and builds multi-agent systems with tool use, memory, routing, and planning
- Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing
- Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle
- Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems
Qualifications
- U.S. Citizenship is required
Required Skills:
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- Minimum 3 years of experience building and deploying ML or LLM-powered systems in production environments
- Minimum 2 years of experience leading or mentoring engineering teams in production environments
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python
- Experience with common LLM algorithms and implementations
- Hands-on experience with AWS and cloud infrastructure
- A strong desire to learn and investigate new technologies
- Familiarity with Git source control management
- Ability to work collaboratively with little supervision
- A burning desire to work in a challenging fast-paced tech environment
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience with Claude Code and GenAI coding best practices.
We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.
Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
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Company Description
Job Description
Scope of Responsibilities
- Define and lead Govini's data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization and linkage.
- Ensure key entities within datasets are identified, resolved and linked to existing entities within the current master data repository.
- Apply various techniques to produce solutions to large-scale optimization problems, including data pre-processing, indexing, blocking, field and record comparison and classification.
- Improve data sharing, increase data repurposing and improve cost efficiency associated with data management efforts.
- Build best practices that help with chain of custody of data so it can be easily traced back to the source for accuracy and consistency.
- Work across functional teams to understand advanced statistical, machine learning, and text processing models and incorporate them into Govini’s existing data engineering infrastructure.
- Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
- Work directly with users as well as SMEs to establish, create and populate optimal data architectures and structures, as well as articulate techniques and results using non-technical language.
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Mathematics or a related technical field
- 3-5 years experience with programmatically transforming data
- Experience with RDBMS
- Advanced SQL programming skills
- Proficient usage of common data formats such as CSV, XML, and JSON
- Requires strong analytical ability and attention to detail
- Ability to work independently with little supervision
- A burning desire to tackle hard problems and create sustainable solutions
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience using Amazon Web Services
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Working knowledge with large (multiple terabytes) amounts of data
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Senior Machine Learning Engineer
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Company Description
Job Description
Scope of Responsibilities
- Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform
- Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods
- Ability to work with taxonomy experts to create and validate dataset annotation
- Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features
- implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Ark.ai platform to enhance user experience.
- Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system
- Establish meaningful criteria for evaluating algorithm performance and suitabilityImplement working, scalable, production-ready models and code
- Keep up to date with Machine Learning best practices and evolving open-source frameworks
- Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
- Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers
Qualifications
- U.S. Citizenship is required
- Advanced degree, or bachelor’s with at least 3 years of experience, in Data Science, Machine Learning or a related field
- Minimum 3 years experience with hands-on development of NLP models
- In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling
- Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models
- Advanced software skills in Python
- Advanced ability in forming SQL queries
- A strong desire to learn, investigate, and implement cutting-edge technologies
- Ability to work collaboratively throughout the design process.
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience in deploying ML models in Kubernetes environments
- Experience developing custom training sets for large language models
- Experience productionizing transformer-based models
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Lead Data Platform Engineer
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Company Description
Job Description
Scope of Responsibilities
- Design and implement platform architecture enhancements to support scalability and reliability
- Design, build, maintain, and support data platform solutions to enable efficient data consumption across functional teams, including AI/ML, Data Science, and Software
- Evaluate and integrate emerging technologies to improve the data platform
- Collaborate with teams across the organization to understand business needs and translate them into data solutions
- Mentor junior engineers by providing code reviews, guidance, and technical leadership through promotion of engineering best practices
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Mathematics or a related technical field
- 5+ years of experience in building and maintaining scalable data platforms or services
- Strong proficiency in Python and SQL
- Proven experience in architecting and implementing data pipeline frameworks, including orchestration
- Solid understanding of data security and governance best practices
- Hands-on with big data frameworks, such as Apache Spark
- Knowledge of cloud-native data lake/lakehouse architectures
- Demonstrated ability to collaborate with stakeholders to deliver data platform solutions that support AI, machine learning, data science, and web applications
- Strong analytical skills and attention to detail
- Ability to work independently in a fast-paced environment
- A passion for solving complex problems and building sustainable, scalable systems
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience using Amazon Web Services
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Working knowledge of large (multiple terabytes) amounts of data
- We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.
We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.
Ready to apply?
Apply to Govini
Machine Learning Engineer III
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About us
TeleTracking began with a simple but powerful belief that no one should wait for the care they need. More than a slogan, it’s a promise to continually improve healthcare.
TeleTracking builds groundbreaking technology incorporating deep clinical expertise. Our solutions are used in the nation’s largest healthcare systems and around the world to positively impact patients, families and communities.
What’s your contribution to the TeleTracking story?
When you chose to bring your passion and skills to helping achieve our purpose, you’ll be part of a team that understands that there’s a human life behind every data point. Your skills, curiosity, and compassion—will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare.
About the role
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team at TeleTracking Technologies, focusing on improving patient care. The ideal candidate will have a strong background in developing, deploying, and optimizing machine learning models, as well as expertise in data ingestion and modeling techniques. This role requires a deep understanding of hospital operations, healthcare data, clinical workflows, and regulatory requirements (such as HIPAA or GDPR). The successful candidate will be passionate about leveraging advanced technologies to enhance patient care and operational efficiency.
What you will do
- Design, develop, and implement machine learning and deep learning models to address hospital-specific challenges such as patient flow optimization, resource allocation, bed management, and predictive analytics for patient outcomes.
- Build and optimize data ingestion and modeling pipelines as needed
- Utilize domain driven techniques and design patterns to build and contribute to technical
- design.
- Collaborate with cross-functional teams including data scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions.
- Work with large-scale healthcare and hospital datasets including structured data (EHRs, hospital operational data), unstructured data (clinical notes, imaging).
- Ensure data privacy and security, adhering to healthcare regulations such as HIPAA and GDPR, especially when working with sensitive hospital data.
- Mentor junior engineers and data scientists, providing guidance on machine learning techniques, particularly those relevant to hospitals and healthcare systems.
- Monitor, troubleshoot, and enhance the performance of deployed models using MLOps best practices, ensuring they operate effectively in hospital environments.
- Write technical architectural and design documents.
What we look for
- Proven experience in end-to-end design and deployment of machine learning models from ideation to production in healthcare or similar settings.
- Strong programming skills and experience with object or component-oriented development software, one or more of: Python or R, with proficiency in ML frameworks, one or more of: TensorFlow, PyTorch, or Scikit-learn.
- Expertise in NLP, computer vision, or other specialized machine learning techniques applicable to healthcare and hospital environments.
- Deep knowledge of a scripting or statistical programming language (Python preferred). Ability to efficiently work with very large datasets and deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.)
- Assess model performance; train multiple models; carry out tuning. Run A/B tests on models.
- Comfortable writing complex SQL queries and developing python packages.
- Experience with cloud-based management and hosting, one or more of: AWS, Azure, GCS, CloudFormation, Terraform, or Ansible. Interest in developing services as well as the underlying infrastructure
- Experience with database management system software, one or more of: Oracle, MSSQL, MongoDB, MySQL, DynamoDB, or PostgreSQL.
- Experience with Version Control Software, one or more of: git, Mercurial, CVS, TFS, or Subversion.
- Strong understanding and experience executing several software development methodologies and life cycles. Ability to understand and translate business requirements into technical specifications.
- Experience with agile development practices.
- Excellent written and oral communication skills. Adept and presenting complex topics, influencing, and executing with timely / actionable follow-through.
- Strong analytical and problem-solving skills with the ability to convert information into practical training deliverables. Uses rigorous logic and methods to solve difficult problems.
- Knowledge of clinical workflows and hospital operations, and how technology can enhance efficiency and patient care.
- Familiarity with healthcare-specific machine learning challenges, such as data imbalance, longitudinal data, and real-time processing in hospital environments.
- Be an active listener, probe requirements for all projects from relevant stakeholders, stay nimble and willing to produce rapid iterations.
Education
- Bachelor's degree in computer science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 7 or more years of experience.
- Master's or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 5 or more years of experience. (preferred)
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
Benefits
- Medical/dental/vision plans 100% paid for employees and family members without coverage, which start from day one!
- Life and AD&D
- Flexible Spending Accounts: Medical, Dependent Care, and Transportation
- 401 (k) Retirement Savings
- Tuition Reimbursement
- Military Paid Leave (up to 6 months of base salary while on military leave)
- Paid Time Off
- Paid parental leave
Disclaimer:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions. The term "qualified individual with a disability" means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position.
TeleTracking is an Equal Opportunity/Affirmative Action employer. TeleTracking recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, veteran status, physical or mental disability, genetic information, sexual orientation or preference, gender identity, marital status, or citizenship status.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
Ready to apply?
Apply to TeleTracking Technologies, Inc.
Lead RTL Design Engineer
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Efficient is developing the world’s most energy-efficient general-purpose computer processor. Efficient’s patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution
We are looking for a Lead RTL Design Engineer to own microarchitecture definition and RTL implementation across the dataflow execution fabric, memory subsystem, on-chip interconnect/NoC, low-power logic, and standard peripheral IP (RiscV, NVM, I2S, I2C) integration. You will work from architecture spec through synthesis-ready RTL, collaborating with architects, microarchitects, DV leads, physical design, and firmware teams to tape out an industry leading power-efficient SoC.
This is a unique opportunity to be a part of a newly formed HW engineering org and have an influence on our products and processes as we move from the initial stages of product development to market release and scaled volume production. Join our team and help us shape the future of computing at the edge and beyond!
Key Responsibilities
- Microarchitecture definition (core focus): Own the design and definition of processor and compute-unit microarchitecture, including dataflow pipelines, execution units, and interfaces. Set performance, power, and area targets, and guide the team toward achieving them.
- On-chip interconnects and system integration: Define and drive the design of on-chip networks and data movement across the fabric, balancing performance, scalability, and implementation constraints in collaboration with physical design.
- Memory subsystem & system architecture: Define the interface to the memory subsystem, including data movement, ordering, and synchronization behavior, ensuring a clean and scalable model for software and future system expansion.
- Reconfiguration and execution model: Lead the architecture of configuration, scheduling, and execution of workloads on the fabric, including multi-kernel support and interaction with host systems.
- Power management and low-power design: Drive power architecture across the design, including clocking, reset, power domains, and low-power strategies to meet aggressive energy and efficiency goals.
- HW/SW co-design: Collaborate closely with compiler and software teams to define the hardware execution model, ensuring efficient mapping of workloads onto the architecture.
Specifications, Documentations and Reviews: Author and own uArch specification documents for assigned blocks; drive design reviews with architecture, compiler, DV, and physical design stakeholders.
- Mentoring and process improvement: Mentor senior and junior RTL engineers; review RTL, flag microarchitecture risks, and enforce coding style and lint-clean standards across the team.
- Driving PPA Metrics: Participate in PPA analysis loops: synthesize blocks regularly, review area/timing/power reports, and make data-driven tradeoffs against performance and feature requirements.
- DV Collaboration: Collaborate with DV leads to define/review verification plans; provide directed test scenarios for graph execution corner cases, back-pressure conditions, and power state transitions.
- Silicon Bring-up: Support silicon bring-up: contribute scan/ATPG guidelines, review DFT insertion, and provide RTL-level debug assistance during lab validation.
Required Qualifications & Experience
- 8+ years of RTL design experience with tape-out ownership of dataflow based design, on chip networks, memory subsystems or peripheral integration on a processor or accelerator SoC.
- Deep proficiency in SystemVerilog for RTL — synthesis-clean, lint-clean, timing-aware; able to design complex state machines, arbiters, token flow controllers, and datapath logic from scratch.
- Solid understanding of parallel execution models: dataflow, SIMD, or systolic array architectures; familiarity with the hardware challenges of token-based firing-rule evaluation and producer-consumer synchronization.
- Hands-on experience with on-chip memory design: SRAM wrappers, scratchpad/TCM, banking, and memory-mapped register interfaces.
- Experience with low-power RTL techniques: UPF-driven flows, clock gating, power domains, retention registers, and AON wakeup logic.
- Familiarity with at least one standard on-chip bus protocol (AXI, AHB, APB, TileLink, or NoC equivalent) at the RTL implementation level.
- Experience taking RTL through synthesis and timing closure; ability to read and act on SDC constraints, STA reports, and synthesis QoR summaries.
- Strong written communication skills; able to produce uArch specs and design review material independently.
- Experience with memory compiler toolchains
Desired Qualifications & Experience Requirements
- Prior RTL ownership of a dataflow engine, neural processing unit (NPU), or streaming DSP architecture with explicit producer-consumer token management.
- Experience collaborating with compiler or graph-optimization teams to co-design hardware execution models and graph IR representations.
- Familiarity with NVM controller RTL (MRAM, RRAM) including ECC, program/erase sequencing, and model weight storage use cases.
- Experience with IoT-class power budgets (sub-10 mW active, sub-100 µW standby) and the RTL design choices they necessitate.
- Familiarity with functional safety standards (ISO 26262, IEC 61508) as applied to execution fabric error detection and power domain isolation.
- Exposure to AI framework graph formats (ONNX, TFLite) and understanding of how graph compilation maps to hardware execution primitives.
- Tape-out credits on an edge-AI, IoT, or wearable SoC at 12nm or below.
- Experience with formal verification of flow-control logic, deadlock freedom, or bus protocol compliance.
We offer a competitive salary for this role, generally ranging from $160,000 to $250,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate.
Why Join Efficient?
Efficient offers a competitive compensation and benefits package, including 401K match, company-paid benefits, equity program, paid parental leave, and flexibility. We are committed to personal and professional development and strive to grow together as people and as a company.
Ready to apply?
Apply to Efficient Computer
Staff Product Program Manager
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Who we are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Technical Product/Program Manager to join Aurora’s Product & Program Management team, partnering closely with the Behavior Planning team as well as Software development teams (i.e., Data Engine, Controls, etc.) broadly. The Behavior Planning team is an integral part of Aurora’s Driver team and is responsible for developing the algorithms for selecting safe and comfortable trajectories for the Aurora Driver.
In this role, you will
- Partner deeply with Behavior Planning leads and engineers to plan and prioritize development with greatest product impact.
- Assess requirements, facilitate selection of the best options, and coordinate the team to successfully evolve tools and operational processes to achieve them.
- Track progress, resolve dependencies, evaluate risks and communicate status to upper management and project stakeholders, and engage and energize the project teams to achieve aggressive goals.
- Manage complex projects at a large scale, spanning many functional teams and cross-functional initiatives. Instill an efficient project management mindset and workflow across the team, and function as a go-to resource for project management mentorship
- Remove obstacles to drive momentum and progress, identify gaps in communication or schedule, manage issue escalations and provide support to teams balancing competing priorities, and drive results proactively.
- Understand technical implementation at the architectural level and propose technical alternatives when necessary; ask questions that clarify priorities and push the team to be effective.
Required Qualifications
- Minimum of 7 years experience as a Technical Program Manager, Product Manager, or Engineering Manager, or Engineer in an autonomous systems, robotics, data science, machine learning, computer vision, or software development environment.
- Bachelor’s degree in Engineering, Computer Science, Math, Data Science, Information Systems or a related area, or the equivalent in experience with evidence of exceptional ability preferred.
- A strong familiarity with machine learning models, robotics or computer vision systems and their architecture.
- Direct, measurable impact through the design, development and launch of groundbreaking products or delivery of significant and novel technology programs.
- High technical aptitude with an ability to understand technical designs, software development lifecycle, challenges and risks; ability to work closely with engineers.
- Strong experience in project management; practical familiarity with both Agile and Waterfall methodologies and ability to apply them where best suited.
- Strong written and verbal communication skills with the ability to adjust communication based on audience.
- Passion for shipping new to market products and the ability to dynamically adapt to new responsibilities needed to do so
The base salary range for this position is $163-$236K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
#LI-SP1
#Mid-Senior
Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.
We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.
Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.
Our commitment to safety
At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.
Our commitment to inclusion
Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
Ready to apply?
Apply to Aurora Innovation
Mission Summary:
Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team. This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.
What you'll be doing:
- Drive cross-team standards and best practices for web development
- Own cross team collaboration, ensuring deliveries are made on time and effectively
- Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
- Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
- Build mission-critical UI systems used by a variety of internal customers.
- Design initiative experiences for complex, data-heavy workflows.
- Drive best practices around performance, scalability and maintainability
- Ship quickly and iterate in a product driven environment.
What we're looking for:
- Desire to design and build user-facing visual applications, and a passion for good UX.
- Strong proficiency in React, Typescript and modern frontend architecture
- Proficiency in Vue
- Strong product sense with a focus on UX and usability.
- Ability to work with high ownership and autonomy.
- Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
- Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
- A well-established technical design and documentation habit
- Capability to work directly with customers to identify foundational needs and provide solutions.
Bonus Points(not required):
- Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
- A love for the continuous delivery of value.
- Exposure to backend systems (Node, Python)
- Experience in Game Development or 3D Visualization
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Engineer, Autonomy ML Systems
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Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
Mission Summary:
The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.
We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.
Responsibilities:
- Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
- Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
- Evaluate machine learning model performance against these metrics and tests.
- Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
- Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
- Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
Qualifications:
- An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
- Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
- Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
- Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
- Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
Bonus Skills:
- Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
- Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
- Knowledge of C++, especially applied to safety critical systems.
- Experience with systems verification and validation techniques
- Experience with regression testing updates to already-deployed software in a safety-critical environment.
- Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
- Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
- Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
- Work in cross collaboration teams to address problems and find solutions
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.
Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants. All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status. Motional AD LLC is a Drug-free workplace.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Software Engineer, Autonomous Vehicle Performance Metrics
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Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization.
What You'll Be Doing:
- Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion).
- Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets.
- Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning.
- Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation.
- Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team.
- Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering.
What We're Looking For:
- 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
- Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices.
- Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis.
- Proficient with Git and standard version control workflows.
- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership).
- Proven ability to work both independently and effectively as part of a multidisciplinary team.
- Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing.
- Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
Bonus Points (not required):
- Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
- Familiarity with simulation environments and data generated from AV simulations.
- Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
- Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.
Success Metrics:
- Successful design and implementation of key autonomous vehicle performance metrics.
- Improvement in the efficiency and effectiveness of AV performance evaluation processes.
- Timely and accurate delivery of data and insights to AV development teams.
- Contribution to the overall advancement and safety of our autonomous vehicle technology.
This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment:
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Staff Front End Engineer
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Mission Summary:
Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team. This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.
What you'll be doing:
- Drive cross-team standards and best practices for web development
- Own cross team collaboration, ensuring deliveries are made on time and effectively
- Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
- Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
- Build mission-critical UI systems used by a variety of internal customers.
- Design initiative experiences for complex, data-heavy workflows.
- Drive best practices around performance, scalability and maintainability
- Ship quickly and iterate in a product driven environment.
What we're looking for:
- Desire to design and build user-facing visual applications, and a passion for good UX.
- Strong proficiency in React, Typescript and modern frontend architecture
- Proficiency in Vue
- Strong product sense with a focus on UX and usability.
- Ability to work with high ownership and autonomy.
- Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
- Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
- A well-established technical design and documentation habit
- Capability to work directly with customers to identify foundational needs and provide solutions.
Bonus Points(not required):
- Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
- A love for the continuous delivery of value.
- Exposure to backend systems (Node, Python)
- Experience in Game Development or 3D Visualization
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Engineer, Autonomy ML Systems
Share this job
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
Mission Summary:
The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.
We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.
Responsibilities:
- Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
- Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
- Evaluate machine learning model performance against these metrics and tests.
- Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
- Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
- Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
Qualifications:
- An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
- Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
- Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
- Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
- Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
Bonus Skills:
- Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
- Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
- Knowledge of C++, especially applied to safety critical systems.
- Experience with systems verification and validation techniques
- Experience with regression testing updates to already-deployed software in a safety-critical environment.
- Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
- Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
- Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
- Work in cross collaboration teams to address problems and find solutions
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.
Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants. All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status. Motional AD LLC is a Drug-free workplace.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Engineer, Autonomy ML Systems
Share this job
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
Mission Summary:
The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.
We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.
Responsibilities:
- Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
- Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
- Evaluate machine learning model performance against these metrics and tests.
- Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
- Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
- Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
Qualifications:
- An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
- Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
- Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
- Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
- Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
Bonus Skills:
- Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
- Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
- Knowledge of C++, especially applied to safety critical systems.
- Experience with systems verification and validation techniques
- Experience with regression testing updates to already-deployed software in a safety-critical environment.
- Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
- Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
- Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
- Work in cross collaboration teams to address problems and find solutions
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.
Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants. All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status. Motional AD LLC is a Drug-free workplace.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Software Engineer, Autonomous Vehicle Performance Metrics
Share this job
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization.
What You'll Be Doing:
- Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion).
- Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets.
- Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning.
- Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation.
- Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team.
- Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering.
What We're Looking For:
- 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
- Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices.
- Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis.
- Proficient with Git and standard version control workflows.
- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership).
- Proven ability to work both independently and effectively as part of a multidisciplinary team.
- Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing.
- Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
Bonus Points (not required):
- Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
- Familiarity with simulation environments and data generated from AV simulations.
- Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
- Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.
Success Metrics:
- Successful design and implementation of key autonomous vehicle performance metrics.
- Improvement in the efficiency and effectiveness of AV performance evaluation processes.
- Timely and accurate delivery of data and insights to AV development teams.
- Contribution to the overall advancement and safety of our autonomous vehicle technology.
This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment:
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Software Engineer, Autonomous Vehicle Performance Metrics
Share this job
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization.
What You'll Be Doing:
- Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion).
- Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets.
- Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning.
- Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation.
- Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team.
- Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering.
What We're Looking For:
- 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
- Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices.
- Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis.
- Proficient with Git and standard version control workflows.
- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership).
- Proven ability to work both independently and effectively as part of a multidisciplinary team.
- Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing.
- Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
Bonus Points (not required):
- Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
- Familiarity with simulation environments and data generated from AV simulations.
- Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
- Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.
Success Metrics:
- Successful design and implementation of key autonomous vehicle performance metrics.
- Improvement in the efficiency and effectiveness of AV performance evaluation processes.
- Timely and accurate delivery of data and insights to AV development teams.
- Contribution to the overall advancement and safety of our autonomous vehicle technology.
This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment:
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Mission Summary:
Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team. This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.
What you'll be doing:
- Drive cross-team standards and best practices for web development
- Own cross team collaboration, ensuring deliveries are made on time and effectively
- Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
- Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
- Build mission-critical UI systems used by a variety of internal customers.
- Design initiative experiences for complex, data-heavy workflows.
- Drive best practices around performance, scalability and maintainability
- Ship quickly and iterate in a product driven environment.
What we're looking for:
- Desire to design and build user-facing visual applications, and a passion for good UX.
- Strong proficiency in React, Typescript and modern frontend architecture
- Proficiency in Vue
- Strong product sense with a focus on UX and usability.
- Ability to work with high ownership and autonomy.
- Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
- Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
- A well-established technical design and documentation habit
- Capability to work directly with customers to identify foundational needs and provide solutions.
Bonus Points(not required):
- Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
- A love for the continuous delivery of value.
- Exposure to backend systems (Node, Python)
- Experience in Game Development or 3D Visualization
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
Mission Summary:
The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.
We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.
Responsibilities:
- Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
- Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
- Evaluate machine learning model performance against these metrics and tests.
- Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
- Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
- Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
Qualifications:
- An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
- Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
- Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
- Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
- Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
Bonus Skills:
- Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
- Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
- Knowledge of C++, especially applied to safety critical systems.
- Experience with systems verification and validation techniques
- Experience with regression testing updates to already-deployed software in a safety-critical environment.
- Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
- Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
- Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
- Work in cross collaboration teams to address problems and find solutions
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.
Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants. All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status. Motional AD LLC is a Drug-free workplace.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional’s driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.
What You'll Do:
- Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval.
- Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments.
- Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios.
- Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services.
- Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation.
- Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions.
What We're Looking For (Must-Haves):
- BS or MS in Computer Science, Machine Learning, or a related field.
- Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics.
- Strong proficiency in Python with the ability to write clean, modular, and well-documented code.
- Working knowledge of version control, unit testing, and basic software design patterns.
- Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy.
- A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics.
- A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.
Bonus Points (Nice-to-Haves):
- MS/PhD in Computer Science, Machine Learning, or related field.
- Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
- Background in autonomous driving, robotics, or real-time decision-making systems.
- Familiarity with multimodal learning, sensor fusion, or embodied AI.
- Experience building active learning loops, using the model to find the data that breaks the model.
- Experience with ML-based data mining, active learning, or contrastive learning.
- Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
- Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Software Engineer, Autonomous Vehicle Performance Metrics
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Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization.
What You'll Be Doing:
- Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion).
- Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets.
- Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning.
- Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation.
- Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team.
- Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering.
What We're Looking For:
- 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
- Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices.
- Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis.
- Proficient with Git and standard version control workflows.
- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership).
- Proven ability to work both independently and effectively as part of a multidisciplinary team.
- Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing.
- Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
Bonus Points (not required):
- Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
- Familiarity with simulation environments and data generated from AV simulations.
- Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
- Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.
Success Metrics:
- Successful design and implementation of key autonomous vehicle performance metrics.
- Improvement in the efficiency and effectiveness of AV performance evaluation processes.
- Timely and accurate delivery of data and insights to AV development teams.
- Contribution to the overall advancement and safety of our autonomous vehicle technology.
This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment:
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Principal Engineer Team Lead - Trajectory Planning Lead
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Mission Summary:
As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions.
If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you!
What you'll do:
- Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.
- Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.
- Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.
- Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.
- Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.
- Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.
- Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.
- Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule.
What we're looking for:
- Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
- Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.
- Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
- Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.
- Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.
- Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.
- Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.
- Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.
- Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.
- Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Mission Summary:
Motional is seeking a Senior Full Stack Engineer expert for its Web Visualization Tooling team. This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improving the performance and adaptability of our autonomous vehicle (AV) system.
Role Responsibilities:
- Own and expand backend implementation and architecture of our visualization tooling suite (e.g., data mining quality assurance, operations and log ingestion, annotation pipelines, telemetry viewers).
- Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
- Support scalable, performance APIs and services for visual development, debugging, and annotation systems.
- Help mature internal standards, observability, and deployment processes for our backend stack
- Maintain and mature the team’s CI/CD infrastructure and process.
Qualifications (required):
- Desire to design and build user-facing visual applications, and a passion for good UX.
- Strong proficiency in backend development with NodeJS and Python.
- Solid understanding and practical experience with AWS CDK in TypeScript.
- Ability to own and expand backend implementation and architecture of visualization tooling suite.
- Proven ability to collaborate effectively with cross-functional teams in diverse and highly technical domains of expertise.
- Experience in supporting scalable, high-performance APIs and services for visual development, debugging, and annotation systems.
- Ability to help mature internal standards, observability, and deployment processes for backend stack.
- Experience in maintaining and maturing CI/CD infrastructure and processes.
- Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
- Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
- A well-established technical design and documentation habit
Preferred:
- Experience with full-stack and front-end development using NextJS and React.
- Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
- A love for the continuous delivery of value.
Nice to have:
- Knowledge of and experience with Golang
- UI/UX and product design experience.
- 3D Math and Linear Algebra fundamentals.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Machine Learning Engineer, Data Mining
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Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.
What You'll Do:
- Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
- Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
- Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
- Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
- Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
- Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.
What We're Looking For:
- BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
- 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
- Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
- Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
- Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
- Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
- Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
- Demonstrated ability to ship production-grade ML systems and mentor team members.
- Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers
Bonus Points (Nice-to-Haves):
- MS/PhD in Computer Science, Machine Learning, or related field.
- Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
- Background in autonomous driving, robotics, or real-time decision-making systems.
- Familiarity with multimodal learning, sensor fusion, or embodied AI.
- Experience building active learning loops, using the model to find the data that breaks the model.
- Experience with ML-based data mining, active learning, or contrastive learning.
- Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
- Publications or open-source contributions in RL, distillation, or efficient ML.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Principal Engineer Team Lead - Trajectory Planning Lead
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Mission Summary:
As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions.
If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you!
What you'll do:
- Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.
- Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.
- Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.
- Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.
- Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.
- Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.
- Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.
- Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule.
What we're looking for:
- Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
- Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.
- Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
- Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.
- Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.
- Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.
- Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.
- Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.
- Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.
- Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Software Engineer - Autonomy Integrations
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Mission Summary:
We are looking for a Senior Software Engineer to develop and deliver automated workflows, intelligent tooling and insightful analytics that enables our autonomy stack to scale. You will play a pivotal role in transforming massive amounts of data into actionable engineering insights, ensuring our software releases are robust, validated, and ready for the road.
What you'll be doing:
- Develop Intelligent Tooling: You will design and implement sophisticated automation to categorize and explain complex system behaviors by leveraging advanced data modeling to accelerate solutions.
- Drive Analytics: You’ll lead the creation of high-impact performance visualization tools that translate raw metrics into clear, actionable insights regarding on-road performance.
- Streamline Release Engineering: Your expertise will help the team evolve our release processes, moving toward a highly automated deployment framework that maintains quality while improving efficiency
- Advance Simulation Capabilities: You’ll have the opportunity to enhance our virtual testing ecosystems, ensuring our simulation suites provide the high fidelity feedback necessary to properly understand the release.
- Collaborate at Scale: Work within a large, multi-disciplinary codebase to ensure seamless integration between planning, motion, and controls teams.
What we're looking for:
- Extensive experience building production-grade applications, tools, and pipelines using Python.
- Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key.
- Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles.
- Curious about data and possess the ability to extract meaningful patterns from noisy, high-dimensional datasets.
- Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world.
Bonus Points(not required):
- Experience with C++ in a Linux environment.
- Familiarity with Machine Learning frameworks or Large Language Model (LLM) integration.
- Background in robotics middleware (ROS, DDS) or autonomous systems.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Mission Summary:
The Staff Systems Safety Engineer:
- Oversees the development and implementation of engineering safety processes for our autonomous vehicle systems
- Is responsible for reviewing hazards, risk assessments, and ensuring compliance with industry safety standards (ISO 26262, SOTIF, and ASIL).
- Collaborates with cross-functional teams, including software, hardware, and AI engineers, to ensure integration of safety into the design and validation of our AV system
Essential Duties:
- Ensure and oversee the development and implementation of system safety processes for autonomous vehicle platforms.
- Ensure hazard analysis and risk assessments (HARA) for AV components and subsystems are conducted.
- Assist in the definition and verification of functional safety requirements in compliance with ISO 26262 and SOTIF (ISO 21448).
- Collaborate with hardware, software, and AI teams to integrate safety measures into perception, decision-making, and control systems.
- Support the development of failure mode and effects analysis (FMEA) and fault tree analysis (FTA) for AV systems.
- Ensure compliance with regulatory and industry safety standards, including SAE J3016, NHTSA, and UNECE WP.29.
- Ensure the development and execution of safety verification and validation plans, including simulation, testing, and real-world driving scenarios.
- Work with certification bodies and regulators to ensure safety case documentation and approval processes.
- Contribute to the development of safety culture within the organization by providing guidance and training
Qualifications:
Educational Requirements
- Bachelor’s or Master’s degree in Systems Engineering, Electrical Engineering, Computer Science, Mechanical Engineering, or a related field
Technical / Specialized Knowledge, Skills, Abilities:
- 5+ years industry and 3+ years of experience in safety engineering for automotive, aerospace, or robotics systems.
- Strong knowledge of functional safety standards (ISO 26262, SOTIF, ASIL).
- Knowledge of systems / software engineering standards (INCOSE, ISO15288, ASPICE CMMI)
- Experience with hazard analysis, risk assessment, and safety case development.
- Proficiency in safety analysis tools (e.g., Medini Analyze, Ansys, Fault Tree+, FMEA software).
- Familiarity with autonomous vehicle architectures, including perception, planning, and control systems.
- Experience working with real-time embedded systems and software safety.
- Strong problem-solving, analytical, and communication skills.
- Experience with machine learning safety challenges in AVs.
- Knowledge of cybersecurity principles related to vehicle safety (ISO/SAE 21434).
- Experience in safety assurance for AI-driven systems.
- Previous work with automotive OEMs, Tier 1 suppliers, or AV startups
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Working Environment:
The work environment characteristics described here are representative of those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the team member is regularly exposed to the office environment, outside weather conditions, road conditions, and pedestrian traffic. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles. The noise level in the environment is low to moderate. When traveling, the team member will be exposed to airports, airplanes, hotels and public transportation environments.
This role is based in our Pittsburgh or Las Vegas office and requires in-office days each week.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional