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. 

Aurora is seeking a highly experienced and strategic Director, Organizational Safety to spearhead the continuous improvement and scaling of our Enterprise Safety Management System (SMS). Reporting directly to the Chief Safety Officer, you will serve as a critical pillar of Aurora’s safety leadership team.

You will be the primary architect of the Aurora Approach to Organizational Safety, ensuring that safety is integrated into the DNA of our corporate culture and business processes. You will maintain and continuously improve Aurora’s strong Safety Culture, and ensure appropriate safety assurance protocols are in place to maintain the health of Aurora Safety Programs. You will also establish and maintain credible and appropriate approaches to managing safety risk to the organization, products and operations, including responsibility for the governance of the highest level risk-based decision-making via management of the Safety Review Board.

In this role, you will 

Strategy & Governance

• Aurora SMS framework: Ensure the Aurora SMS framework remains state of the art and appropriate to manage the unique risks of autonomous technology development and operations, that it is scalable, transparent, and aligned with industry-leading standards and delivers measurable improvements.
• Safety Review Board (SRB): Ensure that the SRB maintains appropriate visibility on enterprise safety risks and is presented with necessary and timely information to make decisions on managing safety risks. Manage the agenda, risk synthesis, and follow-up for Aurora’s highest safety governing body to ensure the Accountable Executive is appropriately informed on safety. Support SRB decision making for Aurora driverless products before they are released on public roads.

Safety Risk Management & Assurance

• Safety Concern Reporting (SCR): Lead the enterprise-wide program for reporting, triaging, and investigating safety concerns, fostering a "just culture" where employees feel empowered to report risks without fear of retribution.
• Safety Risk Management Approach and Integration: Define and oversee the methodologies used for identifying, evaluating, mitigating, and monitoring organizational, product and operations safety risks. 
• Fleet Safety Oversight: Provide strategic direction to the Manager of Fleet Safety, ensuring that DOT/FMCSA compliance, driver fitness, and vehicle inspection programs are appropriate for Aurora product and operations and ensuring execution is conformant to safety policies.

Leadership & Culture

• People Management: Lead and mentor a high-performing team, including the Fleet Safety organization and SMS Team.
• Safety Thought Leadership: Drive the internal and external communications narrative regarding safety performance, safety case/SMS integration and cultural maturity.
• Cross-Functional Collaboration: Partner with Legal, HR, Finance, and Engineering to ensure safety risk mitigations are reflected in corporate policies and insurance frameworks.

Required Qualifications

• 10+ years of experience developing and/or managing a comprehensive Safety Management System (SMS) within a safety-critical transportation industry (e.g., Automated Driving Systems, Aviation, Rail, Marine, or Automotive).
• Proven Leadership: At least 5 years of experience managing diverse safety teams and leading through other managers to derive results through highly effective teams.
• Expert Risk Management: Demonstrated mastery of applied, credible methodologies for Safety Risk Management (SRM) at an enterprise level.
• Bachelor’s Degree in Engineering, Safety Management, or a related technical discipline.
• Technical Acumen: Deep understanding of safety-critical systems and relevant standards and best practices (e.g., FMVSS, ISO, ICAO, AVSC).
• Communication: Exceptional ability to synthesize and derive insights from complex data for C-suite executives, business partners, and regulatory bodies.
• Industry Influence: Experience representing an organization in industry forums or helping shape national/international safety standards.

Desirable Qualifications 

• Advanced Degree: Master’s or Ph.D. in Safety Engineering, Human Factors, or Safety Management
• Professional Certification: Certified Safety Professional (CSP), Certified Director of Safety (CDS), or equivalent.
• AV Experience: Direct experience with the unique risk management challenges of autonomous vehicle technology or complex robotics.

The base range for this position is $176,000 - $228,000.  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-xxx

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.

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.

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:

Fleet Operations is where cutting-edge technology meets real-world application. As a Test Driver, you’ll play a vital role in the development testing that drives software and performance improvements. Our dedication to precision shapes the future of driving.

What you’ll do: 

• Drive test vehicles for long-distance local missions (up to 300-400 miles) and on extensive travel missions (up to 50% travel), including multi-day trips across the U.S
• Operate on a variety of schedules
• Perform daily start-up, system engagement/disengagement, and shutdown procedures for development vehicles
• Actively monitor and troubleshoot both software and hardware systems while on the road
• Execute testing in accordance with strict safety and compliance protocols
• Maintain accurate and detailed reports on vehicle performance
• Collaborate closely with engineers to provide feedback and insight on system performance
• Represent the organization professionally and responsibly while driving in public environments, prioritizing the safety of all road users

What you'll need to succeed:

• High School Diploma or GED equivalent with two years of employment experience required. Associate or Bachelor’s Degree preferred
• Must have a valid driver’s license in the state of residence and ability to meet Latitude AI’s minimum driving record requirements, as verified by Motor Vehicle Record background checks prior to hire and periodically thereafter
• Ability to pass ten-panel drug screening and criminal background checks conducted prior to employment and periodically thereafter
• Comfortable spending long hours driving and working in close quarters with others, maintaining professionalism and focus
• Strong interest in technology, adapting quickly to challenges and embracing changes
• Technical proficiency with computers; for example typing, checking network connections, navigating web-based applications
• Basic troubleshooting skills with an ability to identify issues with both software and hardware
• Contributes to a positive and professional work environment while working with people from diverse backgrounds
• Capability to thrive autonomously or with limited oversight
• A strong sense of responsibility and reliability—show up on time, ready to work every day
• Curiosity and excitement about learning new technologies

Nice to have:

• Prior experience in technical driving, fleet operations, or vehicle testing environments where compliance and adherence to procedures were crucial
• Familiarity with vehicle diagnostics and data logging tools
• Familiarity with work management tools like Jira, Slack, Driver Schedule, etc

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

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.

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.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Test Specialists support the business by working with Operations, Testing, Autonomy, Mapping, as well as System and Vehicle Integration Engineers to execute on-vehicle tests, refine test and verification plans, identify and resolve issues, and provide test results. They communicate between teams and help with improving vehicle testing outcomes. 

This role will focus on executing on-vehicle tests, reporting out test results, and improving overall testing efficiency by identifying gaps and recommending process refinements. While efficiency is crucial, nothing comes before safety, and the Test Specialists is a key team member to uphold this responsibility.

Essential Duties:

• Review simulation test scenarios to validate predicted autonomous vehicle behavior at a high level.
• Provide field support for road operations
• Support global mapping efforts
• Asset tracking of drives and ingesting data
• Support data operations and collection 
• Be fluent in software applications such as Confluence, Jira & GSuite
• Support smart city infrastructure for internal business needs
• Conduct field operations to support validation
• Execute safe, repeatable test cases for extended periods and document results to accurately verify and analyze system performance and data.
• Provide accurate, actionable, and detailed reports on the system/software state by testing and troubleshooting issues.
• Document technical notes,  reproduce issues, flag real-time autonomous vehicle events, and support triage and resolution processes.
• Contribute to the test execution process and work efficiency improvements to achieve work at scale.
• Work cross-functionally with various teams (Engineering, Operations, Mapping, etc. ) to communicate knowledge of new features or changes and ensure that testing is completed in a timely manner.
• Able to travel domestically
• Additional duties assigned
  
  

Qualifications:

• Enthusiasm for the AV industry as well as safety/mobility
• Experience in the automotive industry or a fleet 
• Basic understanding of Linux and scripting languages
• Exemplary organizational and time management skills
• Skilled in Microsoft/G-Suite applications including PowerPoint/Slides, Excel/Sheets, Word/Doc
• Valid driver's license required
• Successful completion of relevant eLearning content related to vehicle platforms
• Basic understanding of robotics systems, including sensors, actuators, mechanical, and software systems.
• Ability to think logically and remove bias from evaluation of problems - demonstrated problem-solving skills.
• Ability to properly follow specific instructions and learn tasks quickly - detailed-oriented mindset focused on safety.
• Strong communication and interpersonal skills.
• Flexible and creative thinking.
• Ability to work AM/PM hours as well as weekends depending on testing needs
  
  

Preferred Qualifications (not required):

• Associate or BS in Engineering/Physics/Science or relevant field preferred
• Demonstrated experience with working knowledge in a Linux environment
• Data Analysis experience
• Experience with testing of vehicle subsystems or features (esp. L2-L5 systems)
• Experience in using issue tracking software or tools is preferred (esp. Atlassian Confluence, Jira, Bitbucket)
• Experience in technical writing, technical drawings, and documentation of mechatronics systems is preferred
  
  

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 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.

While performing the duties of this job, the team member is regularly exposed to 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.

Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants.  All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

This role is based in our Pittsburgh office and requires in-office days each week.

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.

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

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.

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.

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.

About the Role:

The Labeling team delivers algorithms, tools and infrastructure to provide data labels that can be used by Perception, Motion Planning, and other ML teams for training and evaluation. They work closely with manual labeling efforts and infrastructure teams to create a data centric ecosystem needed to develop real time, safety critical ML models for autonomous driving. 

We are looking for a Labeling Analyst to review and ensure a high quality of labels delivered to our Autonomy teams. The job entails operating internal and third party tools to visualize labels and checking if they meet our quality and labeling standards. The Labeling Analyst will also collaborate across operational and technical teams to identify and correct issues and support other labeling related tasks as needed.

Responsibilities:

• Review labels using internal and third party tooling to identify defects, mis-labeled or unlabeled items.
• Perform high-precision mapping and spatial data annotation activities crucial for autonomous vehicle navigation, utilizing proprietary tooling.
• Update issue trackers based on defects found, summarize findings and write reports.
• Follow up with internal and third party partners to resolve quality issues.
• Participate in defining requirements for, testing, and creating user documentation for internal label editing and review tooling.
• Help with other tasks such as selecting suitable logs for labeling and generating analytics on the QA process.
• Partner with engineering teams to define requirements for, test, and create user documentation for new proprietary labeling and mapping tools.

Qualifications: 

• Computer literacy and operate web based tools.
• Ability to work with Google docs, spreadsheets, write summary reports and aggregate statistics using Google Sheets.
• Ability to take high level acceptance criteria guidance and follow it to execute on label review.
• Ability to work in a highly collaborative, team environment across a variety of functional domains, both operational and technical.

Company Name: Hellbender Inc.

Job Title: Robotics Engineering Internship

Department: Engineering

Report to: Engineering Manager 

Who we are:

Hellbender Inc. is a Pennsylvania Benefit Corporation who partners with innovators to mature their Artificial Intelligence enabled computing sensors and produce their solutions onshore at prototype to high volumes.

Hellbender is intentionally forming an inclusive work environment and is committed to uplifting the historically marginalized identities including veterans, women, trans and non-white races in our community and industry.        

Job Summary: 

At Hellbender, you will have the opportunity and responsibility to generate innovative solutions
to address unique issues on a variety of real world problems. As an intern, you will have the
same autonomy as our junior engineers and the mentorship of our senior staff. Our program is
designed to teach you the full product development life cycle and the work will take you back
and forth from the white board to the automated manufacturing line. The coding will consist of
Real-Time/Object Oriented C, C++, and Python development in an embedded Linux
environment.

Eligibility Requirements
An ideal candidate would have prior internship experience at a manufacturing or engineering
based organization. We accept college masters and PhD level students.

Please note that this is a full time, on-site position.

• 3.0 or higher cumulative GPA preferred
• Enrolled in an accredited U.S. college or university
• Classification as a graduate student (master’s or doctoral level)
• Must be authorized to work in the U.S.
• Must be willing to work onsite

Essential Duties and Responsibilities:

• Working on embedded platform software in a Linux-based environment
• Writing event-driven and asynchronous applications primarily in C, C++ and Python
• Writing software that communicates with and controls other devices over interfaces
  including CAN, UART, I2C, SPI and others
• Using oscilloscopes, protocol analyzers, multimeters, and other tools for electronic
  diagnostics
• Define requirements for specific functionality and coordinate with hardware, software
  manufacturing teams
• Demonstrate proficiency in data analysis, programming, and software engineering

Work Location: UPARC Pittsburgh

Opportunity for advancement: 

Hellbender is a growing business and follows a policy that prioritizes internal promotions. As new positions are created new opportunities for advancement will be created as well.

About the Role

We are looking for a Staff Robotics Software Engineer (Tech Lead) to lead the design and development of robot behaviors that expand and generalize our humanoid robot’s capabilities. In this role, you will own behavior design end-to-end, from high-level task logic and system design down to on-robot validation and deployment. You will work at the intersection of behavior planning, motion planning, object perception, and manipulation, developing new autonomy capabilities and pushing the robot into new classes of tasks. We are looking for a hands-on technical leader who can set technical direction and wants to stay close to the robot: writing code, running experiments, debugging logs, working with hardware, and mentoring other engineers by building alongside them.

Key Responsibilities

• Own the design, implementation, and validation of complex humanoid robot behaviors.
• Lead behavior planning and execution design, including task decomposition, control flow, recovery, and failure handling.
• Build new autonomy capabilities that expand what the robot can reliably do in the real world.
• Develop and evaluate manipulation strategies for new tasks, objects, workflows, and customer environments.
• Integrate robot behaviors with motion planning, controls, object perception, estimation, and hardware systems.
• Train, evaluate, and integrate learned policies into hybrid learned/classical execution workflows.
• Integrate new end effectors, tools, sensors, and other hardware capabilities into the behavior stack.
• Debug complex system-level failures using logs, replay, metrics, simulation, and on-robot experimentation.
• Mentor engineers through design reviews, code reviews, debugging, and hands-on technical guidance.
• Help set technical direction and best practices for building robust, composable, reusable, and generalizable robot behaviors.

About You

• B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field.
• 8+ years of professional experience developing robotics software, autonomy systems, robot behaviors, or related real-world robotic capabilities.
• Demonstrated experience as a tech lead or senior technical owner for complex robotics projects.
• Proficient in Python and C++, and comfortable contributing to large, long-lived codebases.
• Experience with behavior trees, state machines, task planners, hierarchical planning, or similar behavior-planning frameworks.
• Strong system-level understanding of how motion planning, object perception, controls, estimation, and hardware interact on real robots.
• Experience working with complex algorithms and data pipelines, with an ability to optimize for performance, robustness, and scalability.
• Experience collaborating closely with perception, planning, controls, hardware, product, or field teams.
• Strong ownership mindset with a focus on robustness, generalization, and real-world reliability.

Bonus Qualifications

• Experience developing manipulation strategies for complex or unstructured environments.
• Experience with learned robot skills, including imitation learning, reinforcement learning, or hybrid learned/classical execution strategies.
• Experience deploying and supporting autonomous robots in real customer environments.

This is a hybrid role based out of one of our Salem, OR, Pittsburgh, PA, or Fremont, CA 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.

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.

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++.

Latitude 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:

Latitude’s Triage Operations team is a growing group of experts supporting our vehicle technology and programs. We analyze large datasets from our comprehensive testing program—including on-road testing, closed-course track testing, virtual simulations, and re-simulations of real-world driving logs—to identify, classify, and track vehicle performance issues and improvements. Triage Operations serves as a vital communication hub, connecting Operations, Systems Engineering, Virtual Test, and Autonomy teams to ensure a fully integrated engineering lifecycle. The insights generated directly improve our systems and machine learning algorithms, enabling us to continuously learn from challenging scenarios and enhance vehicle performance.

As part of Triage Operations, Fleet Watch serves as the central command and coordination hub for real-time vehicle monitoring, incident response, and operational continuity across all Nomadic and Global Fleet missions. Fleet Watch enables safe, efficient, and mission-ready execution through proactive oversight, clear communication, and agile coordination. 

Afternoon and night shift positions are available. Must be able to work rotating Saturday shifts.

What you’ll do: 

• Own the delivery and performance of Fleet Watch operational processes (S.I.G., ticketing standards, escalation paths, incident lifecycle) while driving continuous improvement across tools, playbooks, and coverage models
• Lead complex/high-severity incidents end-to-end, coordinating across multiple internal teams and ensuring operational continuity during time-critical events
• Manage external-facing communication and reporting (mission status, incident summaries, trends, KPIs), ensuring accurate, consistent messaging and executive-ready outputs
• Assist in establishing and tracking performance metrics (response time, resolution time, alert health, ticket quality), and deliver regular insights to leadership and partner teams
• Assist in mentoring the team, provide day-to-day guidance, and help define training plans, knowledge content, and readiness standards for new workflows and mission types

What you'll need to succeed:

• Bachelor’s degree required. In lieu of a Bachelor’s degree, an Associate’s degree with two years of employment experience or a High School Diploma or GED equivalent with four years of employment experience is required
• Ability to learn new software tools and technologies quickly
• Ability to successfully learn and execute analytical based skills to assess the cause, impact, and severity of issues while following detailed documentation
• Strong attention to detail
• Excellent communication skills to work with cross-functional engineering teams
• Willingness to quickly adapt to changes in process
• Interest and desire to work in the development of advanced driver-assist systems (ADAS)

Nice to have:

• Experience working with ADAS automation testing products
• Strong Excel/Google Sheets experience
• Strong Experience using Atlassian products (Confluence/Jira) 
• Experience working independently on complex problems
• Experience working in an operations environment focused on improving both quality and time on task
• Experience working in a software/IT, operational or STEM environment
• Experience using data visualization software such as Looker or Superset
• Experience with Slack and Jira, especially integration and automation features 
• Experience with technical writing

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected hourly pay range for this contract position in California is $33.48 - $50.22/hour USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

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.

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++.

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.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our Vehicle Platform Components team is seeking a highly motivated Senior Engineer to assume ownership of the development and integration of the autonomous vehicle Electronic Controllers (ECUs) and Data Loggers. This position serves as the primary technical owner for the development, validation, and production readiness of our ECUs. The incumbent will ensure that components adhere to all functional requirements and quality standards, and will support component delivery to satisfy all performance, cost, and timing objectives.

Key Responsibilities:

• Develop and manage component-level technical requirements throughout the program development lifecycle.
• Lead technical collaboration with component suppliers, serving as the internal technical expert for the component.
• Ensure all components comply with specifications for performance KPIs, safety, and reliability.
• Guarantee that components adhere to relevant industry standards and regulatory requirements.
• Collaborate with Design Release Engineers to ensure components meet the overall product's program targets and goals.
• Collaborate with Systems Engineers to confirm that component requirements satisfy system needs and that selected components integrate seamlessly into the overall system architecture.
• Responsible for validating component functionality through hands-on testing conducted at both the bench and vehicle levels.
• Lead issue resolution with suppliers and internal cross-functional teams in a timely and effective manner.
  
  

What We’re Looking For:

• 7+ years of experience in automotive component design, development and integration.
• Bachelor’s or Master’s degree in Electrical Engineering, Electronics Technology or a related field.
• Demonstrated expertise in the design, development, and integration of complex Electronic Control Units (ECUs).
• Proven experience utilizing widely adopted Microcontrollers (MCUs) and Systems-on-Chips (SoCs) within automotive ECU applications.
• Experience with automotive communication protocols, including CAN, CAN-FD, and Automotive Ethernet (10GBASE-T1).
• Experience with high-bandwidth data acquisition systems, including proficiency in PCIe switching and direct storage technologies.
• Familiarity with NVIDIA DRIVE AGX Orin / Thor architecture and developer kits.
• Proficiency in Linux, including the ability to develop scripts (e.g., Python, C++, bash) for testing and validation, and layer 2 networking concepts.
• Experience with lab equipment, including power supplies, oscilloscopes, multimeters, and function generators.
• Proficiency in automotive diagnostic tools, including Vector tools (CANoe, CANape, vFlash) and DoCAN/DoIP.
• Experience with automotive environmental, EMI, and shock/vibration testing.
• Experience in root-cause analysis, with a focus on utilizing AV / ADAS vehicle logs to pinpoint scenarios that negatively affect autonomous system performance.
• Familiarity with automotive components validation documentation and procedures, such as DVP&R, DFMEA and PFMEA.
• Experience with requirement compliance, issue-tracking and task management software platforms such as JIRA, Polarion, Confluence, etc.
• Demonstrated experience collaborating with an automotive Tier-1 supplier on the technical development of electronic components.
• Understanding of vehicle integration, packaging, and functional safety standards (ISO 26262)
  
  

Bonus Points:

• Prior experience in an autonomous vehicle or robotics company.
• Prior experience of ECU design for autonomous vehicles.
  
  

This role is based in our Pittsburgh office and requires in-office days each week.

Latitude 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:

Latitude’s Triage Operations team is a growing group of experts supporting our vehicle technology and programs. We analyze large datasets from our comprehensive testing program—including on-road testing, closed-course track testing, virtual simulations, and re-simulations of real-world driving logs—to identify, classify, and track vehicle performance issues and improvements. Triage Operations serves as a vital communication hub, connecting Operations, Systems Engineering, Virtual Test, and Autonomy teams to ensure a fully integrated engineering lifecycle. The insights generated directly improve our systems and machine learning algorithms, enabling us to continuously learn from challenging scenarios and enhance vehicle performance.

As part of Triage Operations, Fleet Watch serves as the central command and coordination hub for real-time vehicle monitoring, incident response, and operational continuity across all Nomadic and Global Fleet missions. Fleet Watch enables safe, efficient, and mission-ready execution through proactive oversight, clear communication, and agile coordination. 

Afternoon and night shift positions are available. Must be able to work rotating Saturday shifts.

What you’ll do: 

• Independently monitor Fleet Operations missions using dashboards, alerts, and basic vehicle health indicators to build incident context and assess mission impact
• Capture required details and open tickets with accurate categorization and documentation
• Participate in real-time coordination for active incidents: prioritize multiple events, drive timely escalations, and maintain clear communication across resolver teams
• Support cross-functional analytical tasks and real-time monitoring within Triage Operations
• Work in an operational but fast-paced environment emphasizing your attention to detail 
• Assist in training and mentoring of new team members

What you'll need to succeed:

• High School Diploma or GED equivalent with two years of employment experience required. Associate or Bachelor’s Degree preferred
• 1-2 years of relevant working experience 
• Flexibility in working hours and shift support
• Ability to learn new tools and technologies quickly
• Ability to successfully learn and execute analytical based skills to assess the cause, impact, and severity of issues while following detailed documentation
• Strong attention to detail with repetitive tasks
• Excellent communication skills to work with other team members
• Willingness to quickly adapt to changes in both processes and tasks
• Interest and desire to work in the development of advanced driver-assist systems (ADAS)

Nice to have:

• Experience working with ADAS automation testing products
• Experience working in a customer facing environment
• Strong Excel/Google Sheets experience
• Strong Slack and Jira experience
• Experience working in a software/IT, operational or STEM environment
• Experience using dashboarding software such as Looker or Superset

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected hourly pay range for this contract position in California is $26.39 - $39.59/hour USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

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.

Latitude 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:

One of the keys to delivering an ADAS driving experience is an accurate, up-to-date HD map that describes the world around us. This map, collected onboard our vehicles and processed by the Data Services Operations team, must meet intense quality standards achieved through structured workflows, rigorous policy and attention to detail. Along with providing HD map production, the Map Operations team supports and enables data-driven decision making by providing GIS analysis to teams across Ford and Latitude. 

We are seeking a highly skilled and motivated Data Services Analyst to join our team. The ideal candidate will be responsible for quality controlling map data, processing automation feedback, and crafting best practices related to Geographic Information Systems (GIS).

This contract will be 1 year (12 months) in duration. 

What you’ll do: 

• Execute quality control functions in Latitude’s HD map data pipeline to ensure accuracy and consistency
• Provide automation feedback to improve efficiency of Map Operations
• Maintain and ensure the quality of GIS data and related processes
• Analyzing spatial data through the use of mapping software

What you'll need to succeed:

• Proficiency in GIS software such as ArcGIS, QGIS, or similar
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Experience in quality control and data management is preferred
• Ability to work 100% at desk in a 2D and 3D virtual environment

Nice to have:

• Bachelor's degree in GIS, Geography, Environmental Science, or related field
• Previous experience working in an AI/self-driving setting or similar
• Experience sourcing and federating third party data for spatial analysis

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

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.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

The Senior Engineer Team Lead is responsible for the validation of the autonomous vehicle stack with a primary emphasis on the interface between software and physical hardware. This role leads the development and execution of Hardware-in-the-Loop (HIL) testing strategies to ensure that perception, planning, and control algorithms interact safely and reliably with vehicle sensors, actuators, and ECUs.

You will be the technical authority for HIL bench architecture and hardware-software integration, ensuring that the "brain" of the vehicle commands the physical "body" with millisecond precision and fail-safe reliability.

Essential Duties:

• HIL Strategy & Architecture: Lead the design, setup, and maintenance of high-fidelity HIL test benches (e.g., dSPACE, NI, or Speedgoat). Define the hardware-software mapping required to simulate real-world vehicle dynamics.
• Hardware-Software Integration: Own the validation of the Drive-by-Wire (DBW) system, ensuring steering, braking, and acceleration commands meet safety-critical latency and accuracy requirements.
• Fault Injection & Robustness: Design and execute complex hardware fault-injection campaigns (e.g., sensor signal loss, CAN bus flooding, power interrupts) to validate system-level safety monitors.
• Communication Protocol Expert: Direct the testing of automotive communication networks, including CAN, CAN-FD, Automotive Ethernet, and LIN, using tools like Vector CANoe/CANalyzer.
• Multi-Modal Validation: While focusing on hardware, maintain oversight of SIL and closed-course testing to ensure HIL results correlate with virtual and physical track performance.
• Mechatronic Debugging: Lead root-cause analysis for complex electromechanical issues, utilizing oscilloscopes, multimeters, and logic analyzers to debug signal integrity and power distribution.
• Tooling & Automation: Architect Python-based automation frameworks for HIL regression suites, reducing manual bench time and increasing test coverage.
• Safety Compliance: Act as a lead reviewer for ISO 26262 functional safety requirements, specifically focusing on Hardware-Software Interface (HSI) specifications.
  
  

Qualifications:

• Education: Bachelor’s or Master’s degree in Electrical Engineering, Mechatronics, Mechanical Engineering, or Robotics.
• Experience: 5+ years in Systems/Hardware testing, with at least 3 years focused on HIL simulation within the automotive or aerospace industry.
• Technical Mastery:
• Hardware: Expert knowledge of ECUs, sensors (Lidar/Radar/Camera), and mechatronic actuators.
• Simulators: Proven experience configuring real-time simulation environments (e.g., dSPACE ControlDesk, NI VeriStand, or IPG CarMaker).
• Scripting: Expert proficiency in Python for test automation and Matlab/Simulink for plant model integration.
• Domain Expertise:
• Deep understanding of automotive electrical architectures and power management.
• Experience with sensor calibration and synchronization across hardware interfaces.
• Familiarity with SOTIF (ISO 21448) and how hardware limitations impact autonomous functionality.
  
  

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 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.

While performing the duties of this job, the team member is regularly exposed to 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.

Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants.  All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

This role is based in our Pittsburgh office and requires in-office days each week.

We are seeking a dedicated and proactive Technical Support Specialist to join our team in Pittsburgh. The ideal candidate will have a strong aptitude for customer interaction, excellent problem-solving skills, and a commitment to ensuring customer satisfaction.

Key Responsibilities:

• Respond, resolve and support external or internal customer issues. Investigates, analyzes, and solves customer technical or operational issues. Requires knowledge of Agility’s products and services.
• Provide outstanding customer support via phone, email, and other communication channels.
• Assist customers with troubleshooting technical issues related to our robotics products and services.
• Work closely with our engineering and technical teams to resolve complex customer inquiries in a timely manner.
• Document and track customer interactions and issue resolutions using our ticketing system.
• Collaborate with cross-functional teams to identify recurring issues and implement long-term solutions.
• Follow up with customers to ensure that their issues have been fully resolved and that they are satisfied with the outcome.
• Proactively identify opportunities to improve our products and services based on customer feedback.

Qualifications:

• Bachelor's degree or equivalent experience preferred.
• Strong interpersonal and communication skills, with the ability to effectively interact with customers of all technical backgrounds.
• Excellent problem-solving abilities and a proactive approach to issue resolution.
• Exceptional attention to detail and organizational skills.
• Ability to work independently and prioritize tasks in a fast-paced environment.
• Previous experience in customer support or a related field is a plus, but not required.
• Passion for robotics and technology is highly desirable.

This a hybrid position based out of one of our Pittsburgh, PA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

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. 

The Offline Mapping team is responsible for producing high-definition (HD) maps that the Aurora Driver operates on.  In this role, you will develop software for powering the large-scale pipelines and orchestration that will unlock the ability to build high definition 3D maps quickly and reliably for the Aurora Driver. This software is critical to the mission of Aurora, as it enables a reliable and robust expansion of the Aurora Driver’s operational domain.

This position is situated at the confluence of developing large-scale backend systems for orchestration and workflow management. This role involves being able to construct a robust, high-volume backend system to meticulously track the state of numerous pipelines, steps and tasks involved in map generation. Furthermore, the role encompasses the development of pipeline workflows to efficiently process substantial data volumes originating from the various constituents of the mapping algorithms and processes. We are looking for a Software Engineer to join our Map Orchestration Team.

In this role you will:

• Design, implement, and maintain scalable backend systems that can help track state and orchestrate the various steps in the map building pipelines in a robust and tractable way.
• Develop, scale and maintain the services and infrastructure that powers the map building pipelines.
• Collaborate with engineers on the map generation algorithms, localization and operational teams for ensuring we have a clear interface for operational hand-offs, notifications and escalation mechanisms.
• Develop software in Python and C++, using modern best practices
• Troubleshoot and solve complex issues within large-scale data pipelines and orchestration systems

Required Qualifications:

• BS/MS or PhD in Computer Science, Robotics or a related field
• 5+ years of industry experience building software in a production environment
• Proficiency with developing backend systems (gRPC, SQL databases, MapReduce architecture) using Python or C++.
• Experience with software design, in particular in complex systems with many dependencies
• Ability to collaborate effectively in a cross-functional team environment 

Desirable Qualifications:

• Prior experience with mapping systems
• Prior experience with robotics or autonomous vehicles
• Familiarity with large-scale big data pipelines with Map Reduce and pipeline optimization
• Experience with C++ (Ideally C++17 or newer)

The base salary for range for this position is $146,000 - $211,500 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-JL261

#Mid-Senior 

Why Agility Robotics Needs You

At Agility Robotics, we are striving to create a business that will last for decades and finances are the fuel that keeps our company moving. For that, we need to balance forward thinking and bold steps with impeccable accounting records and rigorous controls.

We are looking for a highly skilled Accountant III to share ownership of the general ledger and ensure strict compliance with GAAP and all applicable internal or external laws and policies. As a senior member of the team, you will operate with a high degree of autonomy, managing complex financial workflows and preparing deliverables for final leadership review to keep our financial records accurate and compliant.

This is a hybrid position based out of our Pittsburgh Office (3+ days/week on site), reporting to the Senior Accounting Manager.

About the Role

The Accountant III manages a comprehensive set of accounting activities to ensure compliance with generally accepted accounting principles, corporate policies, and external audits. This person is a self-starter who is action and goal-oriented in a fast-paced, collaborative environment.

In this role, you will lead the analysis and reconciliation of accounts while independently driving the development and implementation of accounting policies and procedures, submitting completed work for final oversight. You are expected to be a subject matter expert who coordinates across multiple teams to identify and execute process improvements and creation that enhance the department's efficiency.

Role Responsibilities

• Lead Financial Close: Drive the monthly and year-end financial close processes, including the independent preparation of complex journal entries, balance sheet reconciliations, and accruals for management review.
• General Ledger Ownership: Maintain and oversee set of general ledger accounts, verifying data accuracy and resolving systemic errors autonomously.
• Process Innovation: Lead the creation, documentation, and improvement of accounting processes and internal controls to scale with company growth.
• Audit & Compliance Support: Participate heavily in the documentation and gathering of audit support, ensuring all materials are audit-ready prior to submission.
• Systems & Projects: Serve as a key stakeholder in financial system initiatives and contribute to other unique financial projects as needed.

About You

• Experience: 5+ years of accounting experience, preferably with a manufacturing company.
• Environment: Experience in high-growth or fast-paced company environments is preferred.
• Education: Bachelor’s degree in accounting or finance is required. CPA preferred.
• Technical Expertise: Advanced knowledge of accounting and corporate finance principles and procedures in compliance with GAAP.
• Analytical Skills: Strong analytical skills, including the ability to interpret complex financial data and identify trends.
• Soft Skills: Proven ability to multitask, prioritize, and organize effectively while maintaining strict confidentiality.
• Systems: Expert proficiency with Google Sheets and/or Excel, and strong technology skills (Google Suite, etc.).
• Software Preference: NetSuite experience is preferred.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About the Company

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 the Role

The Chief of Staff will work closely with our CEO to drive efficiencies, enact change, and provide a framework for the Executive Team to tackle the most important strategic and operational priorities of the company. This role will sit at the center of the organization helping translate company strategy into execution across product, go‑to‑market, finance, and operations.

Required Skills

Ownership: You assume full responsibility for achieving successful outcomes. You demonstrate initiative, act with urgency, and maintain rigorous accountability for results.

Prioritizing Solutions: You move beyond merely identifying challenges to proactively removing obstacles for yourself and your colleagues.

Attention to Detail: You observe what others overlook and engage in deeper inquiry.

Embrace AI Integration: You leverage artificial intelligence across all facets of your work to accelerate progress and enhance the caliber of your output.

Responsibilities

• Collaborate directly with the CEO to advance the company's highest-priority initiatives and strategic objectives.
• Translate strategic mandates into structured, cross-functional execution plans.
• Manage complex, cross-functional projects encompassing product development, finance, operations, and Go-To-Market (GTM) strategies.
• Establish internal operational rhythms, including planning cycles, Objective and Key Results (OKRs) development, and executive-level reporting.
• Develop analytical models and decision frameworks to inform company leadership.
• Orchestrate investor and board preparations, including the creation of materials, metric tracking, and in-depth analysis.
• Identify operational constraints and implement scalable, best-in-practice processes.
• Serve as a critical liaison between the leadership team and the broader organization to ensure cohesive alignment and clarity of direction.

Qualifications

• Demonstrated proficiency in financial modeling, analytical techniques, and structured problem-solving methodologies.
• Proven experience collaborating closely with senior leadership on strategic initiatives.
• Ability to operate effectively and assume high ownership in startup environments.
• Exceptional communication skills and the capacity to influence stakeholders across various teams, including communication with a Board of Directors.
• A track record demonstrating the ability to transition seamlessly between strategic planning and hands-on execution.

About the Role

At Agility Robotics, we are building a scalable, sustainable business and are looking to grow our finance team as a critical component of the fuel that will support Agility’s success. We strive to balance forward thinking and bold steps with careful analysis and rigorous controls - and that’s where we need you! We’re looking for a qualified Financial Planning and Analysis Lead that can provide overall financial support and guidance while working closely with department leads to help formulate and refine the strategy and financial projections for the business. You will play an enormously important role by keeping our company’s financial outlook bright with precision and proactive measures. This role will report directly to the Sr. Director of Finance & Accounting.

About the Work

The Financial Planning and Analysis Lead will be responsible for developing insightful analyses that will support timely and effective decision making throughout the organization. You will work closely with senior management and department leads to help develop a long term business plan as well as a detailed annual budget. You will then work to formulate and refine the strategy and financial projections for the business on a quarterly basis. This position requires intense attention to detail and a desire to solve complex business issues.  The key components of the role include:

Budgeting and Forecasting

• Collaborate with business leaders to build annual bottoms-up departmental and organizational budgets. Be a resource for resolving issues and provide training and guidance as needed
• Develop comprehensive reporting of assumptions, financial statements, and operational metrics derived from the budget process for internal and external stakeholders
• Prepare monthly actual to operating budget variances and examine with departmental leaders to determine whether operational changes are required
• Lead headcount modeling & track financial impact on headcount changes
• Generate cash forecasts with visibility into future liquidity needs
• Lead the quarterly re-forecasting process and provide analysis of actual and forecasted variances from original budget
• Lead and deliver on Digital Finance transformation by identifying areas for technology adoption and streamlining
• Perform ad hoc analysis where required to assist in management decision making

Key Performance Indicators (KPI’s)

• Engage with management to identify and track key performance indicators (KPI’s) and bridge analysis to financial performance
• Deliver innovative tools to gather data and construct formats for leadership review and discussion
• Employ data analysis techniques to identify risks and suggest mitigating strategies
• Drive business case preparation and financial return modeling for investment of enterprise resources
• Simplify, standardize, and automate analyses for real-time consumption across a broad audience

Financial Reporting

• Partner with the People Operations team to ensure that confidential headcount information is reconciled monthly and changes are properly reflected in actual and forecasted financial results
• Support the Accounting team in the design, documentation, and maintenance of internal control processes
• Assist in the preparation of financial reports for external parties of interest
• Assist in the preparation for year-end audits
• Performs other duties and special projects as assigned

About You

• Bachelor’s or Master’s Degree in Finance, Accounting, or Business Management and 5+ years related financial or business analysis experience
• Excellent analysis skills and experience with executive presentations
• Thorough knowledge and experience in Microsoft Office and Google Suite, including expertise in Excel & Google Sheets 
• Strong business acumen and exceptional analytical skills to recognize emerging trends in financial data
• Ability to translate and communicate complex financial information to a broad and diverse audience
• Demonstrable experience in leadership, multitasking, and time management
• Possesses excellent interpersonal and communication skills, with the ability to build relationships with internal and external stakeholders

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.

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 

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 Data Services Operations team plays a crucial role in delivering data and analysis that supports development of autonomous systems and features essential for a great ADAS driving experience. Within Data Services Operations, the GIS Services organization at Latitude is the operational backbone and spatial intelligence engine driving our system and its complex relationship with the world and our customers. We go beyond traditional High Definition (HD) map production to build, scale, and operationalize a GIS ecosystem capable of supporting a highly accurate and up-to-date ADAS driving network.

Within this organization, the GIS Platform Team is tasked with building, scaling, and maintaining the robust technological infrastructure that empowers all Latitude stakeholders to easily access, visualize, and exploit spatial data. We are looking for a highly skilled GIS Solutions Analyst (Front-End Support) to lead web application development, design intuitive cartographic templates, and build a seamless "one-stop shop" portal critical to reliable spatial data integration, analysis, and self-service capabilities across the Latitude AI enterprise.

What you’ll do: 

• Infrastructure & Database Management: Develop, optimize, and maintain enterprise spatial databases (specifically Postgres/PostGIS), including schema design, indexing strategies, and performance tuning for high-volume mapping data.
• Performant Geoprocessing: Design, build, and deploy custom Python geoprocessing tools and services that support high delivery velocity, complex vehicle mission routing, and self-service web applications across Latitude.
• Esri Enterprise Administration: Extend the functionality of Esri Enterprise GIS systems by implementing custom data feeds, managing server environments, and ensuring high availability.
• System Optimization: Monitor system performance, troubleshoot storage or network bottlenecks, and proactively implement infrastructure optimizations to support the at-scale global operations.
• Integration & Automation: Implement and maintain CI/CD pipelines and source control practices for geospatial tools, services, and infrastructure deployments.
• Cross-Functional Collaboration: Work closely with the Front-End Solutions Analyst, Operations stakeholders, Spatial Data & Analytics Teams, and Map Engineering to align backend geospatial architecture with business, operational, and delivery needs.
• Best Practices: Establish, document, and promote industry best practices for geospatial data engineering, system design, and backend deployment.

What you'll need to succeed:

• Associate or Bachelor’s Degree preferred.
• Proven experience building, deploying, and tuning relational and spatial databases, with deep proficiency in PostgreSQL and PostGIS.
• Exceptional skills in Python and SQL, specifically for backend geospatial data manipulation, automation, and API development (e.g., ArcPy, GeoPandas, SQLAlchemy).
• Hands-on experience deploying, maintaining, and scaling Esri Enterprise Architecture (Portal, Server, Data Store, Image Server).
• Proficiency in GIS software such as ArcGIS, QGIS, or similar.
• Familiarity with CI/CD workflows, version control (Git), and modern software development lifecycle practices.
• Strong analytical and problem-solving skills with a laser focus on system performance, backend reliability, and infrastructure optimization.
• Excellent communication and teamwork abilities

Nice to have:

• Experience with cloud infrastructure platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for GIS deployments
• Experience designing and scaling raster services, including modern formats (e.g., Cloud Optimized GeoTIFFs [COG], SpatioTemporal Asset Catalogs [STAC]), and enterprise image service delivery (e.g., Esri Image Server) to support high-volume Imagery Based Production (IBP).
• Experience taking nascent, ground-up GIS backend systems and evolving them into mature, highly performant enterprise architectures.
• Experience with Cloud Data Warehouse platforms such as Big Query or Snowflake.
• Familiarity with high-frequency spatial event data management and streaming architectures. Experience utilizing Elastic-stack technologies (Elasticsearch, OpenSearch) or message brokers (e.g., Apache Kafka) to synchronize real-time vehicle fleet telemetry and rapid map updates at scale.
• Familiarity with open-source GIS server technologies (e.g., GeoServer).
• Previous experience working in an autonomous vehicle (AV), ADAS, or high-definition (HD) mapping environment.

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!

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.

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.

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 Data Services Operations team plays a crucial role in delivering data and analysis that supports development of autonomous systems and features essential for a great ADAS driving experience. Within Data Services Operations, the GIS Services organization at Latitude is the operational backbone and spatial intelligence engine driving our system and its complex relationship with the world and our customers. We go beyond traditional High Definition (HD) map production to build, scale, and operationalize a GIS ecosystem capable of supporting a highly accurate and up-to-date ADAS driving network.

Within this organization, the GIS Platform Team is tasked with building, scaling, and maintaining the robust technological infrastructure that empowers all Latitude stakeholders to easily access, visualize, and exploit spatial data. We are looking for a highly skilled GIS Solutions Analyst (Front-End Support) to lead web application development, design intuitive cartographic templates, and build a seamless "one-stop shop" portal critical to reliable spatial data integration, analysis, and self-service capabilities across the Latitude AI enterprise.

What you’ll do: 

• Web Application Development: Design and develop custom GIS web applications and self-service tools (e.g., Route storage and management apps) that empower Latitude engineers and leadership
• Experience Builder & Custom Widgets: Build and extend ArcGIS Experience Builder applications through custom widgets and components. Integrate turnkey/CoTS solutions with custom codebases to optimize concept realization
• UX & Interface Design: Create intuitive, performant, and visually compelling user interfaces for geospatial data exploration and analysis. Translate complex geospatial workflows into accessible, user-friendly application features for non-GIS experts
• Portal Management & UI Standards: Architect and manage a centralized, highly discoverable GIS portal. Establish and maintain reusable UI components, design patterns, and frontend best practices
• API & Backend Integration: Integrate web applications with GIS services, APIs, and backend data pipelines, seamlessly connecting performant geoprocessing services into front-end widgets
• Collaboration: Collaborate with GIS Services peers, Product Managers, Engineers and Executives to deliver seamless end-to-end user experiences
• User Testing & Support: Conduct user testing and incorporate feedback to continuously improve usability and functionality. Create user-friendly technical documentation and act as a champion for GIS adoption across Latitude

What you'll need to succeed:

• Bachelor’s degree with two years of employment experience. In lieu of a Bachelor’s degree, an Associate’s degree with four years of employment experience or a High School Diploma or GED equivalent with six years of employment experience required
• Proven experience using the ArcGIS Maps SDK (JavaScript/TypeScript). Familiarity with alternative web mapping libraries (e.g., Mapbox GL JS, Leaflet) is a strong plus
• Strong proficiency in front-end web development languages (JavaScript, TypeScript, HTML5, CSS3) and modern frameworks (e.g., React, Vue, or Angular)
• Exceptional Python and SQL skills for data preparation, querying, and geoprocessing script integration
• Experience deploying and maintaining Esri WebGIS Enterprise Architecture (custom WebApps and Experiences)
• Proficiency in GIS software such as ArcGIS Pro, QGIS, or similar
• Strong analytical and problem-solving skills, with a keen eye for translating dense spatial data into beautiful, readable visual products
• Excellent communication and teamwork abilities to bridge the gap between highly technical spatial concepts and everyday user needs

Nice to have: 

• Experience building high-level operational dashboards (e.g., ArcGIS Dashboards, Grafana) for live tracking of SLA metrics
• Familiarity with visualizing large-scale 3D spatial data, point clouds, or high-frequency autonomous vehicle (AV) event data in a web browser
• Experience with UI/UX prototyping and wireframing tools (e.g., Figma, Adobe XD)
• Previous experience working in an autonomous vehicle (AV), ADAS, or high-definition (HD) mapping environment
• Experience working in an Agile software development environment using Jira, Git, and CI/CD workflows for front-end deployment

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!

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.

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.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our Vehicle Platform Components team is seeking a highly motivated Senior Engineer to assume ownership of the development and integration of the autonomous vehicle’s vision sensors. This position serves as the primary technical owner for the development, validation, and production readiness of our vision sensors. The incumbent will ensure that sensors adhere to all functional requirements and quality standards, and will support sensor delivery to satisfy all performance, cost, and timing objectives.

Key Responsibilities:

• Develop and manage component-level technical requirements throughout the program development lifecycle.
• Lead technical collaboration with component suppliers, serving as the internal technical expert for the component.
• Ensure all components comply with specifications for performance KPIs, safety, and reliability.
• Guarantee that components adhere to relevant industry standards and regulatory requirements.
• Collaborate with Design Release Engineers to ensure components meet the overall product's program targets and goals.
• Collaborate with Systems Engineers to confirm that component requirements satisfy system needs and that selected components integrate seamlessly into the overall system architecture.
• Responsible for validating component functionality through hands-on testing conducted at both the bench and vehicle levels.
• Lead issue resolution with suppliers and internal cross-functional teams in a timely and effective manner.

What We’re Looking For:

• 7+ years of experience in automotive component design, development and integration.
• Bachelor’s or Master’s degree in Electrical Engineering, Electronics Technology, Optoelectronics (or a related field).
• Demonstrated knowledge of optical systems, encompassing the construction and design of camera components.
• Experience with machine vision camera design, development and integration.
• Understanding of high-throughput Image Signal Processing (ISP) pipeline design and implementation.
• Experience with automotive communication protocols including CAN, CAN-FD, Ethernet, GMSL, and FPD-Link.
• Proficiency in Linux, including the ability to develop scripts (e.g., Python, C++) for testing, validation, and interaction with camera hardware.
• Familiarity with NVIDIA DRIVE AGX Orin / Thor architecture and developer kits.
• Experience with lab equipment, including power supplies, oscilloscopes, multimeters, and function generators.
• Proficiency in automotive diagnostic tools, including Vector tools (CANoe, CANape, vFlash).
• Experience with automotive environmental, EMI, and shock/vibration testing.
• Experience in root-cause analysis, with a focus on utilizing AV / ADAS vehicle logs to pinpoint sensor impairments that negatively affect autonomous system performance.
• Familiarity with automotive components validation documentation and procedures, such as DVP&R, DFMEA and PFMEA.
• Experience with requirement compliance, issue-tracking and task management software platforms such as JIRA, Polarion, Confluence, etc.
• Demonstrated experience collaborating with an automotive Tier-1 supplier on the technical development of electronic components.
• Understanding of vehicle integration, packaging, and functional safety standards (ISO 26262)
  
  

Bonus Points:

• Prior experience in automotive vision sensor hardware and software integration or ADAS technologies.
• Prior experience in an autonomous vehicle or robotics company.

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.

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.

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.

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.

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.

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.

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.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our newly formed Design Release Engineering team, within the Vehicle Platform Engineering group, is seeking a highly motivated Staff Engineer to own the design release and integration of  vehicle control and interface subsystems. This role serves as the primary technical authority for the end-to-end design, release, validation, and production readiness of key vehicle modules, including core systems such as Autonomous Emergency Braking (AEB), Vehicle Interface Controllers (VIC), Cabin Monitoring Systems, and Human-Machine Interface (HMI) hardware. You will ensure robust technical execution, manage supplier and cross-functional alignment, and drive hardware delivery that meets all performance, cost, and timing objectives.

What You’ll Be Doing:

• Own the complete design release of critical vehicle system hardware, including the mechanical mounting, alignment, thermal management, electrical interface, and vehicle network integration.
• Drive technical execution for the full product lifecycle, from concept and architecture definition to sustaining engineering and continuous improvement.
• Oversee the generation and release of all engineering documentation, including models and drawings, Bills of Material (BOM), specifications, and test reports, ensuring alignment with vehicle-level design.
• Collaborate closely with the base vehicle supplier (OEM partner) to ensure seamless mechanical, electrical, and network integration of the vehicle controllers and interface modules into the base vehicle architecture, managing shared Interface Control Documents (ICDs).
• Define and maintain the Design Verification Plan & Report (DVP&R), ensuring successful validation against system performance targets.
• Lead the Engineering Change (ECN) process for all assigned vehicle system modules, ensuring traceability, cost impact analysis, version control, and full cross-functional buy-in.
• Act as the primary technical and program interface to suppliers (Tier 1 and Tier 2), tracking part maturity through DV, PV, and PPAP phases to ensure tooling and delivery readiness.
• Build strong partnerships across the Systems Engineering, Autonomy, Software Infrastructure, Quality, and Vehicle Integration teams to ensure seamless hardware integration and manufacturability (DFM/DFA).
• Lead technical program reviews and design readiness assessments, proactively developing risk mitigation plans to ensure compute hardware maturity aligns with program milestones and build events.
• Provide regular, concise updates to technical leadership on design maturity, validation progress, open issues, and timely closure metrics.
  
  

What We’re Looking For:

• 8+ years of experience in automotive hardware design and release engineering, with direct ownership of ADAS/Active Safety hardware, low-level vehicle controllers, or interior electronic modules preferred.
• Bachelor’s or Master’s degree in Electrical, Mechanical, Computer, or Systems Engineering (or a related field).
• Deep technical understanding of core vehicle control architectures (e.g., AEB and VIC) and automotive network topologies (e.g., CAN-FD, automotive ethernet).
• Technical knowledge of interior electronics and cockpit integration, including HMI ECUs/displays, cabin monitoring sensors, and their associated high-speed video/data protocols (e.g., GMSL, FPD-Link).
• Fundamental knowledge of validation documentation and processes, including DVP&R, DFMEA, and PFMEA.
• Expert-level experience with the manufacturing BOM and ECN processes, and a proven ability to manage technical discussions with external suppliers.
• Familiarity with CAD systems (e.g., NX, CATIA), Product Lifecycle Management (PLM) systems (including requirement management tools such as Polarion), and engineering release workflows.
• Strong understanding of vehicle integration, packaging, and functional safety standards (ISO 26262).
• Proven ability to lead complex initiatives, manage cross-functional teams, and execute to aggressive program timelines with minimal oversight.
  
  

Bonus Points:

• Experience with advanced in-vehicle prototypes and benchtop systems.
• Proven track record of driving goal-level impact across multiple teams or subsystems.
• Prior experience in a fast-growing autonomous vehicle or robotics company.
  
  

This role is based in our Pittsburgh office and requires in-office days each week.

Mission Summary:

Reporting to the Senior Business Development Manager the Strategic Partner Lead, Customer Success will be responsible for identifying, building, and nurturing strategic partnerships that drive growth and expand opportunities with key commercial partners. 

This is a pivotal time to join Motional. We are transitioning from development to deployment, launching our commercial driverless service in Las Vegas in 2026. In collaboration with a major ride-hail partner, we are setting the stage to scale this technology to dozens of cities across the U.S. and internationally. This role requires a leader with a proven track record in forging successful alliances, negotiating complex agreements, and managing relationships with key stakeholders. You will serve as the "Voice of the Customer," owning the relationship at all levels of the organization, playing a critical role in shaping our commercial strategy and achieving our long-term objectives, ensuring our commercial operations translate into scalable, revenue-generating reality. 

This role will be expected to travel up to 40% of the time depending on the business purpose and partnership deliverables.

What you'll be doing:

• Own the Partner Relationship: Serve as the primary commercial owner for critical accounts, navigating complex stakeholder maps to connect internal leads with their external counterparts. You will drive account health, retention, and efficiency by ensuring the right people are connected at the right time.
• Drive Cross-Functional Alignment: Act as the operational bridge between Commercial and technical execution teams (Product, Ops, TPM). You will translate high-level commercial milestones into clear directives, ensuring workstreams converge on time for successful deployments.
• Lead Strategic Collaborations: Establish the partnership's rhythm of business, including Quarterly Business Reviews (QBRs), Steering Committees, and executive briefings. You will lead internal alignment to ensure high-stakes partner events and demos are executed flawlessly.
• Define Success & Track KPIs: Define what winning looks like for both Motional and our partners. You will track and report on key performance indicators across teams to ensure we are meeting contractual obligations and commercial goals.
• Support Market Expansion: Lead the rollout strategy for new launch markets, coordinating logistics between Operations, Strategy, technical teams and external partners. You will drive the readiness efforts required to move from pilot zones to full commercial scale.
• Create Data-Driven Feedback Loops: Translate partner insights—such as pickup/drop-off friction—into actionable engineering requests. You will close the loop between commercial reality and technical roadmaps to optimize the end-to-end passenger experience
  
  

What we're looking for:

• Bachelor's degree in Business, Engineering, or equivalent field, or commensurate professional experience.
• 7+ years relevant professional experience in a similar role, experience working with autonomous vehicles, ride-hail, robotics or mobility industries.
• Cross-Functional Leadership: You have a proven ability to coordinate complex projects across technical and non-technical teams. You can translate commercial needs into clear directives for Product and Operations.
• Executive Presence: You possess superb communication skills and can command a room. You are experienced in leading executive presentations, QBRs, and high-visibility partner visits with polish and professionalism.
• Strategic & Operational Balance: You can set the long-term vision with a partner while also sweating the details of a short term project. You understand how to align daily execution with multi-year commercial objectives.
• Analytical & Influential: You can use data to build a compelling point of view that influences internal stakeholders. You know how to advocate for the partner’s needs to shape our long-term product strategy.
• Soft skills that earn the confidence of leaders and peers, including empathy, organization, clear communication, influencing without authority, low ego, and the ability to build trust.
  
  

Bonus Points(not required):

• MBA or equivalent advanced business degree.
• Launch Experience: Experience coordinating the commercial side of a product launch in a physical market.
• Commercial Fluency: Experience supporting business development efforts, contract renewals, or opportunities.
  
  

This role is hybrid from our Boston, Pittsburgh, or Las Vegas office. It requires two in-office days each week, ideally Tuesday and Thursday.

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.

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.

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.

Mission Summary:

Reporting to the Senior Business Development Manager the Strategic Partner Lead, Customer Success will be responsible for identifying, building, and nurturing strategic partnerships that drive growth and expand opportunities with key commercial partners. 

This is a pivotal time to join Motional. We are transitioning from development to deployment, launching our commercial driverless service in Las Vegas in 2026. In collaboration with a major ride-hail partner, we are setting the stage to scale this technology to dozens of cities across the U.S. and internationally. This role requires a leader with a proven track record in forging successful alliances, negotiating complex agreements, and managing relationships with key stakeholders. You will serve as the "Voice of the Customer," owning the relationship at all levels of the organization, playing a critical role in shaping our commercial strategy and achieving our long-term objectives, ensuring our commercial operations translate into scalable, revenue-generating reality. 

This role will be expected to travel up to 40% of the time depending on the business purpose and partnership deliverables.

What you'll be doing:

• Own the Partner Relationship: Serve as the primary commercial owner for critical accounts, navigating complex stakeholder maps to connect internal leads with their external counterparts. You will drive account health, retention, and efficiency by ensuring the right people are connected at the right time.
• Drive Cross-Functional Alignment: Act as the operational bridge between Commercial and technical execution teams (Product, Ops, TPM). You will translate high-level commercial milestones into clear directives, ensuring workstreams converge on time for successful deployments.
• Lead Strategic Collaborations: Establish the partnership's rhythm of business, including Quarterly Business Reviews (QBRs), Steering Committees, and executive briefings. You will lead internal alignment to ensure high-stakes partner events and demos are executed flawlessly.
• Define Success & Track KPIs: Define what winning looks like for both Motional and our partners. You will track and report on key performance indicators across teams to ensure we are meeting contractual obligations and commercial goals.
• Support Market Expansion: Lead the rollout strategy for new launch markets, coordinating logistics between Operations, Strategy, technical teams and external partners. You will drive the readiness efforts required to move from pilot zones to full commercial scale.
• Create Data-Driven Feedback Loops: Translate partner insights—such as pickup/drop-off friction—into actionable engineering requests. You will close the loop between commercial reality and technical roadmaps to optimize the end-to-end passenger experience
  
  

What we're looking for:

• Bachelor's degree in Business, Engineering, or equivalent field, or commensurate professional experience.
• 7+ years relevant professional experience in a similar role, experience working with autonomous vehicles, ride-hail, robotics or mobility industries.
• Cross-Functional Leadership: You have a proven ability to coordinate complex projects across technical and non-technical teams. You can translate commercial needs into clear directives for Product and Operations.
• Executive Presence: You possess superb communication skills and can command a room. You are experienced in leading executive presentations, QBRs, and high-visibility partner visits with polish and professionalism.
• Strategic & Operational Balance: You can set the long-term vision with a partner while also sweating the details of a short term project. You understand how to align daily execution with multi-year commercial objectives.
• Analytical & Influential: You can use data to build a compelling point of view that influences internal stakeholders. You know how to advocate for the partner’s needs to shape our long-term product strategy.
• Soft skills that earn the confidence of leaders and peers, including empathy, organization, clear communication, influencing without authority, low ego, and the ability to build trust.
  
  

Bonus Points(not required):

• MBA or equivalent advanced business degree.
• Launch Experience: Experience coordinating the commercial side of a product launch in a physical market.
• Commercial Fluency: Experience supporting business development efforts, contract renewals, or opportunities.
  
  

This role is hybrid from our Boston, Pittsburgh, or Las Vegas office. It requires two in-office days each week, ideally Tuesday and Thursday.

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.

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.

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.

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.