Software Engineer Jobs in Pittsburgh.
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Software Engineer, Autonomy Behaviors
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Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About The Role
Our software team is growing and we are looking for a talented engineer to join our agile, world-class team. In this role you will develop autonomous behaviors for humanoid robots to interact with the world around it. You will work closely with state estimation, navigation, and controls teams to execute behaviors aimed at solving challenging problems in real-world deployments.
About The Work
- Design, implement, test, and deploy autonomous behaviors for humanoid robots
- Prototype autonomous behaviors in simulation and execute on robot hardware
- Develop algorithms robust to environmental uncertainty and imperfect state estimation
- Implement performance tests for evaluating the reliability of robot behaviors
- Contribute to the software architecture and design of the autonomy stack
- Collaborate with members of the autonomy teams to solve complex cross functional problems
- Engineer high quality software that is well tested, reliable and maintainable
About You
- Industry experience deploying mobile manipulation robots in real world applications
- Experience developing manipulation algorithms on high-DOF robots
- Familiarity with behavior trees, finite state machines, or similar behavior management and execution systems
- Experience with perception and scene understanding especially as it pertains to manipulation
- Strong robotics fundamentals, including kinematics, dynamics, sensing, and control
- Experience using simulation tools such as Isaac Sim / Mujoco / Drake / gazebo or similar
- Experience with automated testing for simulation
- Strong debugging skills; the ability to identify and diagnose complex issues that arise within robotics
- Strong software experience in modern C++ and Python
Bonus Qualifications
- Experience working with humanoid (or similar) robots
- Experience leveraging machine learning to improve grasp planning and object manipulation
- Experience in classical robotics motion planning and trajectory optimization algorithms
- MS or Ph.D. in robotics, computer science, or related field or have equivalent industry experience
- Publications in your field (RSS, ICRA, IROS preferred)
We are open to remote candidates, but a prefer this role to be hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Apply Now: https://grnh.se/b444bbd04us
Ready to apply?
Apply to Agility Robotics
Traffic Engineer
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We seek to move the world forward through innovative thinking.
Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services. We blend design excellence with cutting-edge technology to deliver exceptional client value. Our team is passionate about their work and committed to building the next generation of industry leaders, and as a certified Great Place to Work®, Woolpert embraces progress and innovation to create limitless opportunities for career growth.
Position Overview
Woolpert is hiring a hiring a Traffic Engineer to join our dynamic Transportation team at any of our Pennsylvania offices. This position reports to the National Traffic Team Lead and is responsible for completing traffic signal design plans and Americans with Disabilities Act (ADA) services, in addition to, but not limited to signing and pavement marking plans, traffic control design, traffic impact studies, crash analysis, traffic calming designs, HOP reviews, etc.
Candidate is preferred to sit in one of our Pennsylvania offices (Harrisburg, Sharpsburg or King of Prussia). This is still a hybrid role and time in the office is negotiable.
We are unable to provide visa sponsorship for this position. Applicants must already possess work authorization in the country the job is located.
Qualified candidates may be eligible for a signing bonus of up to $5,000, based on experience and role alignment. Bonus eligibility is contingent upon 12 months of service and must be repaid if the employee leaves the company within one year of hire.
What You Will Do:
- Performs engineering computations, conducts evaluations, design analyses, and design development.
- Prepares reports, recommendations and opinions for approval.
- Aid in design or oversee staff in the design of projects.
- Applies standard engineering practices and techniques to adjust and correlate data; recognizes and resolves discrepancies in results and follows operations through a series of related steps or processes.
- Works as a member of project team in the development of data and/or applications.
- Willing and able to sign and seal plans in the State of Pennsylvania or the ability to file for reciprocity.
- Ability and willingness to work across geographies. This is in terms of work type, not necessarily required to travel.
- Able to help train and mentor less experienced staff.
What You Will Bring:
- Must have 4 years related experience.
- Bachelor’s degree in civil engineering required.
- Experience in the field of Traffic Engineering is required.
- PE License or the ability to obtain one is required.
- Experience in Civil 3D or Bentley/Microsoft products is required.
- Must be able to read, analyze and interpret basic scientific, technical, financial and legal documents.
- Must be able to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance, correlation techniques, sampling theory and factor analysis.
- Must have average verbal and written communication skills for both internal and external relationships.
- Must be able to respond effectively to sensitive inquiries from clients, regulatory agencies, and/or members of the business community.
- Must have Microsoft Office suite skills.
- Must be familiar with discipline related software applications.
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-MK1
#LI-Hybrid
Base pay offered may vary depending on job-related knowledge, skills, and experience.
Find out more about what Woolpert has to offer here: http://woolpert.com/about-us/
Woolpert is an equal-opportunity employer. Woolpert is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. You may view more about EEO on our website: Equal-Employment-Opportunity-The-Law.pdf and EEO is the Law Poster Supplement.
Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting askhr@woolpert.com.
If you need to reschedule or cancel your interview, please reach out to your recruiter by contacting recruiting@woolpert.com.
To all agencies: Please, no phone calls or emails to any employee of Woolpert or any of our subsidiaries about this requisition. All resumes submitted by search firms/employment agencies to any employee at Woolpert via email, the internet, or in any form and/or method will be deemed the sole property of Woolpert, unless such search firms/employment agencies were engaged by Woolpert's Talent Acquisition Team for this requisition and a valid agreement is in place. In the event a candidate who was submitted outside of Woolpert's applicant process is hired, no fee or payment of any kind will be paid.
Ready to apply?
Apply to Woolpert
We seek to move the world forward through innovative thinking.
Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services. We blend design excellence with cutting-edge technology to deliver exceptional client value. Our team is passionate about their work and committed to building the next generation of industry leaders, and as a certified Great Place to Work®, Woolpert embraces progress and innovation to create limitless opportunities for career growth.
Position Overview
Woolpert is hiring a Senior Software Engineer to join our dynamic Atlas Labs team supporting our Geospatial sector. This position reports to the Director of Product and AI. Atlas Labs oversees technology development for Woolpert’s Geospatial sector, including various types of AI model development, R&D, software infrastructure, and user-facing products.
We are unable to provide visa sponsorship for this position. Applicants must already possess work authorization in the country the job is located.
What You Will Do:
- Contribute to the planning, research, design, architecture, development, and testing of Atlas Labs software features. You’ll write code daily, definitely in Python and possibly in C++ or JavaScript.
- Work as part of a cross-functional Scrum team with domain experts in AI/ML, Geospatial Data, Software Engineering, and GIS.
- Collaborate with internal and external users to ensure the correctness, quality, and availability of Atlas Labs software products.
What You Will Bring:
- Meaningful employment experience working on commercial software products
- Experience writing production code in Python, preferably dealing with large datasets
- Demonstrated experience or academic output in a relevant domain:
- Geospatial Data Processing
- Computer Vision
- AI & Machine Learning
- LiDAR
- Robotics/Self-Driving/Autonomy
- General familiarity with relevant technologies:
- Linux, Docker, and GitHub
- AI/ML frameworks (Tensorflow, Pytorch)
- Cloud platforms (Azure, AWS, Google)
Nice to Have:
- Familiarity with GIS applications like ESRI, QGIS, Google Earth
- Familiarity with orchestration frameworks like Kubernetes, AirFlow, MLFlow
- Programming experience in C++ or JavaScript
- Experience with Agile processes like Scrum
Benefits You Will Love
Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:
- Freedom to Work program: Set your own schedule and location (as appropriate).
- Principal program: Earn the opportunity to become an owner of the firm.
- Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
- Career development: Explore a wide range of learning and growth opportunities within and across industries.
- Health, life, vision, and dental insurance: Cover all your medical bases.
- Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!
#LI-Hybrid
Base pay offered may vary depending on job-related knowledge, skills, and experience.
Find out more about what Woolpert has to offer here: http://woolpert.com/about-us/
Woolpert is an equal-opportunity employer. Woolpert is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. You may view more about EEO on our website: Equal-Employment-Opportunity-The-Law.pdf and EEO is the Law Poster Supplement.
Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting askhr@woolpert.com.
If you need to reschedule or cancel your interview, please reach out to your recruiter by contacting recruiting@woolpert.com.
To all agencies: Please, no phone calls or emails to any employee of Woolpert or any of our subsidiaries about this requisition. All resumes submitted by search firms/employment agencies to any employee at Woolpert via email, the internet, or in any form and/or method will be deemed the sole property of Woolpert, unless such search firms/employment agencies were engaged by Woolpert's Talent Acquisition Team for this requisition and a valid agreement is in place. In the event a candidate who was submitted outside of Woolpert's applicant process is hired, no fee or payment of any kind will be paid.
Ready to apply?
Apply to Woolpert
Senior Hardware Engineer, Lidar
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Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable. We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.
What you’ll do:
- Lead technical development of radar or lidar sensing systems from early concept, benchmarking, and sourcing through production launch
- Define sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs
- Drive sensor benchmarking and technical down-selection across candidate suppliers and technologies
- Lead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments
- Guide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, thermal constraints, power, diagnostics, manufacturability, and cost
- Work cross-functionally with systems, perception, firmware, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs
- Review test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions
- Assess whether supplier evidence is technically credible by reviewing test conditions, assumptions, filtering, sample quality, boundary cases, repeatability, and alignment to sensor physics and system requirements
- Lead technical reviews and challenge unsupported claims, weak correlation, incomplete validation, and conclusions that do not match observed data or first-principles behavior
- Establish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch
- Communicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners
What you'll need to succeed:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)
- 8+ years of experience in automotive sensing, with deep hands-on expertise in either radar or lidar and demonstrated technical leadership on complex hardware programs
- Strong first-principles understanding of the relevant sensing modality:
- Radar: RF fundamentals, range/Doppler/angle estimation, resolution, interference, multipath, ghosting, calibration, synchronization, and environmental effects
- Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness
- Strong scripting and analysis capability in python, including hands-on use of NumPy, pandas, Jupyter, and similar tools to parse logs, evaluate sensor performance, trend issues, and build repeatable analysis workflows
- Ability to work directly with sensor data and debug artifacts, including supplier logs, raw captures, decoded outputs, and vehicle test datasets, and determine whether the data is complete, valid, and physically credible
- Practical experience with day-to-day engineering tools such as Wireshark/PCAP analysis, CAN tools (CANoe/CANalyzer or similar), ROS/rosbag or equivalent logging frameworks, point cloud or radar visualization tools, and common automotive data interfaces such as CAN, CAN FD, and automotive Ethernet
- Ability to independently judge whether supplier test results are correct by evaluating test setup, calibration state, ground truth method, statistical significance, repeatability, boundary conditions, applied filters, KPI definitions, and consistency with known sensor behavior
- Ability to lead and critically assess technical design reviews (TDRs) by identifying weak assumptions, incomplete validation, inconsistent requirements traceability, misleading metrics, and conclusions that are not supported by the underlying data
- Experience translating system and perception needs into sensor requirements, validation methods, and supplier deliverables
- Experience working across hardware, firmware, systems, perception, validation, manufacturing, and supplier teams to drive root cause and resolution
- Strong technical judgment and communication skills, with the ability to make and defend tradeoffs across performance, cost, timing, integration, and reliability
Nice to have:
- Master’s degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field
- Experience leading supplier nomination, sourcing, or technical selection for radar or lidar hardware
- Experience bringing radar or lidar systems into automotive production
- Familiarity with DV/PV, DFMEA, APQP, PPAP, functional safety, automotive quality processes, and production release expectations
- Working knowledge of perception, tracking, calibration, and downstream use of radar or lidar data in automated driving systems
- Experience supporting multiple vehicle platforms or series-production programs
What we offer you:
- Competitive compensation packages
- High-quality individual and family medical, dental, and vision insurance
- Health savings account with available employer match
- Employer-matched 401(k) retirement plan with immediate vesting
- Employer-paid group term life insurance and the option to elect voluntary life insurance
- Paid parental leave
- Paid medical leave
- Unlimited vacation
- 15 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- Pre-tax spending accounts for healthcare and dependent care expenses
- Pre-tax commuter benefits
- Monthly wellness stipend
- Adoption/Surrogacy support program
- Backup child and elder care program
- Professional development reimbursement
- Employee assistance program
- Discounted programs that include legal services, identity theft protection, pet insurance, and more
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Learn more about Latitude’s team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $191,920 - $287,880 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Ready to apply?
Apply to Latitude AI
Senior Hardware Engineer, Radar
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Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable. We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.
What you’ll do:
- Lead technical development of radar or lidar sensing systems from early concept, benchmarking, and sourcing through production launch
- Define sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs
- Drive sensor benchmarking and technical down-selection across candidate suppliers and technologies
- Lead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments
- Guide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, thermal constraints, power, diagnostics, manufacturability, and cost
- Work cross-functionally with systems, perception, firmware, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs
- Review test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions
- Assess whether supplier evidence is technically credible by reviewing test conditions, assumptions, filtering, sample quality, boundary cases, repeatability, and alignment to sensor physics and system requirements
- Lead technical reviews and challenge unsupported claims, weak correlation, incomplete validation, and conclusions that do not match observed data or first-principles behavior
- Establish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch
- Communicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners
What you'll need to succeed:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)
- 8+ years of experience in automotive sensing, with deep hands-on expertise in either radar or lidar and demonstrated technical leadership on complex hardware programs
- Strong first-principles understanding of the relevant sensing modality:
- Radar: RF fundamentals, range/Doppler/angle estimation, resolution, interference, multipath, ghosting, calibration, synchronization, and environmental effects
- Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness
- Strong scripting and analysis capability in python, including hands-on use of NumPy, pandas, Jupyter, and similar tools to parse logs, evaluate sensor performance, trend issues, and build repeatable analysis workflows
- Ability to work directly with sensor data and debug artifacts, including supplier logs, raw captures, decoded outputs, and vehicle test datasets, and determine whether the data is complete, valid, and physically credible
- Practical experience with day-to-day engineering tools such as Wireshark/PCAP analysis, CAN tools (CANoe/CANalyzer or similar), ROS/rosbag or equivalent logging frameworks, point cloud or radar visualization tools, and common automotive data interfaces such as CAN, CAN FD, and automotive Ethernet
- Ability to independently judge whether supplier test results are correct by evaluating test setup, calibration state, ground truth method, statistical significance, repeatability, boundary conditions, applied filters, KPI definitions, and consistency with known sensor behavior
- Ability to lead and critically assess technical design reviews (TDRs) by identifying weak assumptions, incomplete validation, inconsistent requirements traceability, misleading metrics, and conclusions that are not supported by the underlying data
- Experience translating system and perception needs into sensor requirements, validation methods, and supplier deliverables
- Experience working across hardware, firmware, systems, perception, validation, manufacturing, and supplier teams to drive root cause and resolution
- Strong technical judgment and communication skills, with the ability to make and defend tradeoffs across performance, cost, timing, integration, and reliability
Nice to have:
- Master’s degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field
- Experience leading supplier nomination, sourcing, or technical selection for radar or lidar hardware
- Experience bringing radar or lidar systems into automotive production
- Familiarity with DV/PV, DFMEA, APQP, PPAP, functional safety, automotive quality processes, and production release expectations
- Working knowledge of perception, tracking, calibration, and downstream use of radar or lidar data in automated driving systems
- Experience supporting multiple vehicle platforms or series-production programs
What we offer you:
- Competitive compensation packages
- High-quality individual and family medical, dental, and vision insurance
- Health savings account with available employer match
- Employer-matched 401(k) retirement plan with immediate vesting
- Employer-paid group term life insurance and the option to elect voluntary life insurance
- Paid parental leave
- Paid medical leave
- Unlimited vacation
- 15 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- Pre-tax spending accounts for healthcare and dependent care expenses
- Pre-tax commuter benefits
- Monthly wellness stipend
- Adoption/Surrogacy support program
- Backup child and elder care program
- Professional development reimbursement
- Employee assistance program
- Discounted programs that include legal services, identity theft protection, pet insurance, and more
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Learn more about Latitude’s team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $191,920 - $287,880 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Ready to apply?
Apply to Latitude AI
Senior Hardware Engineer, Reliability & Test
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Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable. We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.
What you’ll do:
- Test Strategy & Compliance: Lead the development of Design Verification (DV) and Production Validation (PV) plans. Ensure all hardware-level testing aligns with Ford automotive standards (CETP) and international standards such as ISO 16750 and ISO 26262
- Sensor Validation: Execute and oversee comprehensive testing for sensing modalities including Camera (optics/image quality), Radar (RF performance), Lidar (point cloud accuracy), IMU, and GPS/GNSS
- Reliability Engineering: Conduct environmental and mechanical stress testing (thermal cycling, vibration/shock, humidity, ingress protection, and EMC/EMI) to determine Mean Time To Failure (MTTF) and ensure 10-year/150,000-mile durability
- Vendor & Lab Management: Act as the primary technical point of contact for Tier 1 suppliers and external test labs. Manage the statement of work (SOW), audit lab setups, and ensure external testing is executed to Ford’s precision requirements
- Test Automation & Scripting: Develop and maintain automated test scripts (Python, MATLAB, or Bash) to streamline data acquisition, sensor calibration, and post-processing of large datasets
- Data Analysis & Reporting: Review and interpret complex test results. Perform root cause analysis (RCA) on hardware failures and work closely with design teams to implement hardware revisions
- Cross-Functional Leadership: Mentor junior engineers and collaborate with Systems Engineering, Perception Teams, and Manufacturing to ensure sensor hardware integrates seamlessly into the vehicle platform
What you'll need to succeed:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
- Minimum of seven years of professional experience in hardware testing or reliability engineering.
- Extensive experience testing sensing technologies such as cameras, radar, lidar
- Proficiency in writing scripts using Python or similar languages for data analysis and automation.
- Demonstrated ability to manage projects involving external laboratories and global suppliers.
- Expertise in applying standardized automotive engineering test procedures for environmental and mechanical durability.
- Strong analytical skills for identifying the root cause of hardware malfunctions in automotive electronics.
Nice to have:
- Direct experience in hardware product development for automotive with a focus on sensing products
- Direct experience/exposure to product development of silicon products such as transceivers, imagers, MCUs
- Manufacturing or industrialization of electronics products
What we offer you:
- Competitive compensation packages
- High-quality individual and family medical, dental, and vision insurance
- Health savings account with available employer match
- Employer-matched 401(k) retirement plan with immediate vesting
- Employer-paid group term life insurance and the option to elect voluntary life insurance
- Paid parental leave
- Paid medical leave
- Unlimited vacation
- 15 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- Pre-tax spending accounts for healthcare and dependent care expenses
- Pre-tax commuter benefits
- Monthly wellness stipend
- Adoption/Surrogacy support program
- Backup child and elder care program
- Professional development reimbursement
- Employee assistance program
- Discounted programs that include legal services, identity theft protection, pet insurance, and more
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Learn more about Latitude’s team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $160,000 - $240,000 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Ready to apply?
Apply to Latitude AI
Site Reliability Engineer (Senior or Staff), Atlas
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The Team
This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do.
The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet.
This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads.
Role Overview
We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers.
The ideal candidate should
- Have 5+ years of experience running critical systems at scale
- Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
- Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
- A strong understanding of how to run a large scale Linux environment, including low level fundamentals
- Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
- Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)
Special Requirements:
- Be a US Citizen
Expectations
- Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
- Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
- Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 426187
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)
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MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.
You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.
This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location.
The ideal candidate should
- Have 6+ years of experience working on software development and operating distributed systems
- Proficiency in Python, Go, or a similar language
- Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
- Possess a customer-focused mindset
- Value efficiency in processes and operations
- Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
- Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
- Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
- Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)
Responsibilities
- Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
- Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
- Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
- Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
- Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel
Strong candidates may also have experience with:
- Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
- Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
- Designing secure, multi-tenant runtime environments at scale
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1273396252
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
Internship - Robotics Engineer
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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.
Ready to apply?
Apply to HELLBENDER Inc.
Senior Embedded Software Engineer
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Mission Summary:
Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.
What You'll Be Doing:
- Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
- Design test harnesses for embedded software components and full systems
- Provide technical mentorship to engineers.
- Proactively work with cross-functional engineering teams to solve complex and interesting problems.
What We're Looking For:
- Experience with creating detailed requirements from use cases.
- Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
- Experience writing software for embedded platforms in C and C++.
- Experience with Test-Driven Development (TDD).
- Experience working on embedded Linux / RTOSs.
- Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
- Experience with debugging on embedded platforms.
- Experience writing software in Python and experience doing automation with shell scripting.
- Experience working with ARM Cortex MCUs or Microprocessors.
Bonus Points (not required):
- Experience working with large data pipelines, and platforms that require deterministic execution.
- Experience using inter-system communication protocols such as I2C and SPI
- Experience deploying Machine Learning models.
- Experience working with GPUs.
- Experience working directly with the Linux kernel or Device Drivers.
- Experience with Simulation and Code Generation, and knowing when their use is appropriate.
- Experience working with Bazel.
- Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
- Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Embedded Software Engineer
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Mission Summary:
Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.
What You'll Be Doing:
- Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
- Design test harnesses for embedded software components and full systems
- Provide technical mentorship to engineers.
- Proactively work with cross-functional engineering teams to solve complex and interesting problems.
What We're Looking For:
- Experience with creating detailed requirements from use cases.
- Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
- Experience writing software for embedded platforms in C and C++.
- Experience with Test-Driven Development (TDD).
- Experience working on embedded Linux / RTOSs.
- Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
- Experience with debugging on embedded platforms.
- Experience writing software in Python and experience doing automation with shell scripting.
- Experience working with ARM Cortex MCUs or Microprocessors.
Bonus Points (not required):
- Experience working with large data pipelines, and platforms that require deterministic execution.
- Experience using inter-system communication protocols such as I2C and SPI
- Experience deploying Machine Learning models.
- Experience working with GPUs.
- Experience working directly with the Linux kernel or Device Drivers.
- Experience with Simulation and Code Generation, and knowing when their use is appropriate.
- Experience working with Bazel.
- Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
- Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Embedded Software Engineer
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Mission Summary:
Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.
What You'll Be Doing:
- Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
- Design test harnesses for embedded software components and full systems
- Provide technical mentorship to engineers.
- Proactively work with cross-functional engineering teams to solve complex and interesting problems.
What We're Looking For:
- Experience with creating detailed requirements from use cases.
- Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
- Experience writing software for embedded platforms in C and C++.
- Experience with Test-Driven Development (TDD).
- Experience working on embedded Linux / RTOSs.
- Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
- Experience with debugging on embedded platforms.
- Experience writing software in Python and experience doing automation with shell scripting.
- Experience working with ARM Cortex MCUs or Microprocessors.
Bonus Points (not required):
- Experience working with large data pipelines, and platforms that require deterministic execution.
- Experience using inter-system communication protocols such as I2C and SPI
- Experience deploying Machine Learning models.
- Experience working with GPUs.
- Experience working directly with the Linux kernel or Device Drivers.
- Experience with Simulation and Code Generation, and knowing when their use is appropriate.
- Experience working with Bazel.
- Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
- Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Vehicle Integration Engineer
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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:
- Lead the design, development, and integration of complex electrical and mechanical systems for autonomous vehicles, ensuring they meet rigorous performance, safety, and reliability standards.
- Architect, analyze, and optimize vehicle electrical and networking systems (Automotive Ethernet, CAN) to enhance data throughput, fault tolerance, and system scalability.
- Spearhead the diagnosis and resolution of complex, intermittent system failures using advanced debugging tools (e.g., high-speed oscilloscopes, spectrum analyzers, logic analyzers) and sophisticated PC-based diagnostic and simulation software.
- Mentor junior engineers on best practices for system triage, troubleshooting, repair, and validation.
- Develop and execute comprehensive integration test plans for new vehicle features and subsystems, coordinating efforts across multiple engineering disciplines and external partners.
- Author and maintain high-level technical documentation for system architectures, design requirements, and validation procedures.
What we're looking for:
- Expert-level knowledge of vehicle electrical and networking systems (CAN, LIN, Ethernet, etc.) with a deep understanding of communication protocols and their limitations.
- Proven track record of success in root-cause analysis, systematic issue isolation, and resolution for complex hardware-software integration problems.
- Extensive experience with advanced Linux terminal troubleshooting, including scripting and low-level system diagnostics.
- Deep understanding of computer system architecture, including embedded systems, processing units, and networking hardware.
- Demonstrated ability to author and maintain highly technical documentation, including design specifications, test reports, and system validation plans.
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.
- Excellent communication and interpersonal skills to effectively lead cross-functional teams and collaborate with external suppliers and partners.
- Extensive experience with various sensors, including cameras, LiDAR, and RADAR, and an understanding of their integration challenges.
- Master's degree or equivalent in Electrical, Mechanical, or Systems Engineering, or 10+ years of relevant experience in a senior-level role.
Preferred, but not required:
- Professional proficiency in programming languages such as Python or C++ for scripting, automation, and data analysis.
- Experience with advanced issue-tracking and project management platforms (e.g., JIRA, Polarion, Confluence), including dashboard creation and workflow optimization.
- Working knowledge of functional safety standards (e.g., ISO 26262) and their application in autonomous systems.
This role is hybrid from our Pittsburgh office. It requires in-office days each week.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Site Civil Engineer PE
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We seek to move the world forward through innovative thinking.
Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services. We blend design excellence with cutting-edge technology to deliver exceptional client value. Our team is passionate about their work and committed to building the next generation of industry leaders, and as a certified Great Place to Work®, Woolpert embraces progress and innovation to create limitless opportunities for career growth.
Position Overview
Woolpert is hiring a Site Civil Engineer (PE) to join our dynamic Land Development Engineering team. This position reports to the Engineering Team Leader and is responsible for plan production, performing and reviewing design calculations, and assisting project teams with a variety of site/civil land development engineering projects. The Site Civil Engineer will work alongside teams to deliver flawlessly executed designs of site layouts, utilities, sanitary and storm sewer, grading and earthwork, erosion control, stormwater management systems and stormwater pollution prevention plans.
We are unable to provide visa sponsorship for this position. Applicants must already possess work authorization in the country the job is located. #LI-SN1
What You Will Do:
- Design and create site layout plans in alignment with client requirements and Woolpert standards.
- Utilize AutoCAD Civil 3D to develop concept plans, grading plans, and site designs.
- Provide technical support in site/civil design, hydrology/hydraulics, erosion and sedimentation control, and stormwater management
- Coordinate permitting with County and local municipalities. Experience with local municipalities is a plus.
- Multi-task, appropriately prioritize workflow and complete tasks.
- Work with project management team to identify impediments and develop / implement solutions to overcome obstacles.
- Perform pavement assessments and compiling data and reports
- Occasional field work, frequent local travel, and overnight travel as needed
- Other duties as assigned
What You Will Bring:
- Must have a Bachelor’s Degree in Civil Engineering or related field
- Minimum of 7 years related experience
- Professional Engineer (PE) license required
- Experience in Autodesk Civil 3D
- Demonstrated knowledge of AutoCAD, Civil 3D, Autodesk Vehicle Tracking and Storm and Sanitary Analysis software packages, PondPack, and Microsoft Suite products
- Experience in Hydraulics and Hydrology preferred.
- Must be able to respond effectively to sensitive inquiries from clients, regulatory agencies, and/or members of the business community.
- Demonstrated ability to organize and manage multiple tasks
- Ability to provide excellent client service
- Excellent written and verbal communication skills in a dynamic environment
- Strong organizational, time management, attention to detail and analytical skills
- Ability to work independently as well as in a team environment; offer constructive feedback and direction to support goals
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!
Base pay offered may vary depending on job-related knowledge, skills, and experience.
Find out more about what Woolpert has to offer here: http://woolpert.com/about-us/
Woolpert is an equal-opportunity employer. Woolpert is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. You may view more about EEO on our website: Equal-Employment-Opportunity-The-Law.pdf and EEO is the Law Poster Supplement.
Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting askhr@woolpert.com.
If you need to reschedule or cancel your interview, please reach out to your recruiter by contacting recruiting@woolpert.com.
To all agencies: Please, no phone calls or emails to any employee of Woolpert or any of our subsidiaries about this requisition. All resumes submitted by search firms/employment agencies to any employee at Woolpert via email, the internet, or in any form and/or method will be deemed the sole property of Woolpert, unless such search firms/employment agencies were engaged by Woolpert's Talent Acquisition Team for this requisition and a valid agreement is in place. In the event a candidate who was submitted outside of Woolpert's applicant process is hired, no fee or payment of any kind will be paid.
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Senior Pre-Sales Systems Engineer, Enterprise - Pittsburgh
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We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE:
Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team.
As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.
WHAT YOU’LL DO:
- Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
- Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
- Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
- Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
- Take control of evaluations, benchmarks and system configurations
- Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
- Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
- Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
- Promote mutual roadmap and planning exchanges
- Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
- Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
- Move with market trends and competitive landscape to promote thought leadership within our organization
- Lead by example living the Everpure Values: Persistence, Creativity, Teamwork, Ownership and Customer-first
WHAT YOU BRING:
- Pre-sales experience is required
- 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
- Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
- Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
- Prior experience in targeting new prospects and converting them into clients
- Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
- Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
- Previous experience with Linux, NFS file systems and Linux distributed network environment
- Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
- Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
- Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
- Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
- Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
- Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
- Excellent verbal and written interpersonal skills
#LI-REMOTE
#LI-JL4
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Ready to apply?
Apply to Everpure
Staff Robotics Software Engineer
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Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About the Role
We are looking for a Staff Robotics Software Engineer (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.
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Apply Now: https://grnh.se/b444bbd04us
Ready to apply?
Apply to Agility Robotics
Staff Robotics Software Engineer, Object Perception
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Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About the Role
We are looking for a Staff Robotics Software Engineer to join our Skills team, focusing on object perception for robot manipulation. This technical leadership role is deeply rooted in production robotics, where reliability, performance, and system behavior matter most. You will focus on integrating, adapting, and operationalizing perception systems within a full robotic stack, ensuring they perform robustly on real hardware in real environments.
In this high-impact role, you will act as a key decision-maker within the perception and skills stack, helping define system architecture, design principles, and technical direction across how perception connects to planning, control, and execution. You will shape how these systems come together end-to-end, influencing both current execution performance and the long-term scalability of the platform.
You will also work closely with AI/ML teams, evaluating and incorporating both learned and classical approaches, while driving the engineering decisions that turn models and algorithms into reliable, production-grade robot behavior.
About the Work
- Own object perception performance on the robot, from sensors through runtime behavior integration
- Lead the design, implementation, and deployment of perception pipelines for manipulation, including object pose estimation, depth reasoning, and scene understanding
- Work hands-on with real robots to debug, tune, and harden perception systems under real-world variability
- Collaborate with AI/ML teams to evaluate, integrate, train, and fine-tune perception models
- Explore and integrate off-the-shelf perception solutions and libraries where they meet performance and reliability needs
- Combine learned models with classical CV, geometry, and task structure to meet system-level requirements
- Define interfaces and contracts between perception, behaviors, and task planning to ensure reliable execution
- Build tools and workflows to evaluate perception performance across datasets, simulation, and hardware
- Help set technical direction and best practices for building robust, production-grade perception systems that are reliable, debuggable, and scalable in real-world robotic environments
About You
- B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field
- 8+ years of professional experience building object perception systems for real robotic platforms
- Demonstrated experience as a tech lead or senior technical owner for complex robotics projects
- Experience working across learned models and classical perception approaches
- Experience training, fine-tuning, and evaluating perception models
- Strong experience writing production-quality C++ and Python code
- Hands-on experience with monocular vision, stereo vision, RGB-D sensing, or depth reconstruction
- Experience with perception libraries (OpenCV, Open3D, PCL, ROS perception, NumPy, scikit-image)
- You love solving hard perception problems, but your real passion is seeing those solutions work on a robot in the real world and having an impact
- You’re excited to work on hardware
- You enjoy debugging, testing, and iterating quickly in simulation and on the real robot
You Might Also Have
- Solid understanding of spatial reasoning
- Demonstrated ability to apply object perception model outputs (detection, segmentation, pose estimation) in manipulation pipelines
- Experience with structured 3D estimation (plane fitting, normal estimation, voxel maps, etc)
This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Apply Now: https://grnh.se/b444bbd04us
Ready to apply?
Apply to Agility Robotics
Staff Engineer, Platform Engineering
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Mission Summary:
As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.
What you'll be doing:
- Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
- Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
- Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
- Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
- Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
What we're looking for:
- Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
- 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
- Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
- Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
- Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
- Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
- Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
Bonus points (not required):
- Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
- Prior experience with large-scale machine learning training pipelines
- Experience leading technical projects in a globally distributed team
- Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Staff Engineer, Platform Engineering
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Mission Summary:
As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.
What you'll be doing:
- Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
- Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
- Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
- Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
- Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
What we're looking for:
- Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
- 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
- Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
- Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
- Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
- Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
- Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
Bonus points (not required):
- Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
- Prior experience with large-scale machine learning training pipelines
- Experience leading technical projects in a globally distributed team
- Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Staff Engineer, Platform Engineering
Share this job
Mission Summary:
As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.
What you'll be doing:
- Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
- Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
- Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
- Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
- Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
What we're looking for:
- Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
- 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
- Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
- Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
- Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
- Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
- Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
Bonus points (not required):
- Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
- Prior experience with large-scale machine learning training pipelines
- Experience leading technical projects in a globally distributed team
- Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
Duolingo's Monetization pillar builds the systems that fund our mission — from subscription packaging and advertising to ML-powered personalization, performance marketing, and beyond. As a Senior Engineering Manager, you'll lead a cross-functional product engineering team working on high-impact, revenue-generating systems that help Duolingo grow sustainably while keeping the product playful, transparent, and learner-first. Your team will build and scale systems across ads and paid growth — building signal and audience pipelines, powering creative experimentation, improving ad quality, optimizing budget allocation, and strengthening attribution and ROI guardrails. You'll partner closely with product, design, data science, machine learning, and marketing to define strategy and deliver results. Just as importantly, you'll create an environment where engineers do the best work of their careers — coaching, developing talent, and fostering a high-performing team culture.
🧠 You will...
- Co-lead a cross-functional pod with Product and Marketing to define strategy, success metrics, and an execution roadmap for Duolingo’s performance marketing engine, aligned to ROI guardrails and retained-user growth goals.
- Build and evolve the engineering systems that power paid growth at scale: creative experiment frameworks, audience/signal ingestion and privacy-safe list management, budget and bid optimization tooling, and reliable attribution and reporting pipelines.
- Collaborate with data science and ML partners to design experiments, apply personalization/targeting, and translate insights into product improvements and bookings growth.
- Own planning and execution for projects that directly impact revenue; identify the right team‑level metrics to optimize and protect delivery through clear milestones and risk management.
- Bring both technical and product perspectives to new ideas, enabling rapid hypothesis testing without sacrificing reliability, observability, or long‑term maintainability.
- Set and uphold engineering quality standards and practices that improve reliability, scalability, and operability across Ads systems.
✅ You have...
- Experience leading, managing, and building a team of software engineers.
- A track record of owning multi‑engineer, multi‑week technical projects to successful outcomes in a highly experimental, data‑driven environment.
- Strong product instincts and excellent written/verbal communication, with experience aligning diverse stakeholders across engineering, product, design, and analytics.
- Experience working closely with data, experimentation, or machine learning teams to inform prioritization and ship measurable impact (direct ML expertise not required).
- Demonstrated ability to raise the bar on engineering practices for reliability, scalability, and observability.
⭐ Exceptional candidates will have...
- Prior experience with advertising platforms, ad tech integrations, or building ad surfaces in mobile apps.
- Experience improving ad quality and monetization through experimentation, targeting, or programmatic levers, in partnership with business teams.
- Familiarity with COPPA‑compliant or kid‑friendly ad solutions and the trade‑offs of untargeted inventory.
- Background collaborating with sales/biz ops on direct or programmatic campaigns and translating market feedback into product improvements.
- Experience leading teams that span multiple platforms (iOS, Android, backend) and partnering on ML‑powered personalization within consumer apps.
We post a multi-level salary range for all of our roles.
This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
Ready to apply?
Apply to Duolingo
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
Duolingo's Monetization pillar builds the systems that fund our mission — from subscription packaging and advertising to ML-powered personalization, performance marketing, and beyond. As a Senior Engineering Manager, you'll lead a cross-functional product engineering team working on high-impact, revenue-generating systems that help Duolingo grow sustainably while keeping the product playful, transparent, and learner-first. Your team will build and scale systems across ads and paid growth — building signal and audience pipelines, powering creative experimentation, improving ad quality, optimizing budget allocation, and strengthening attribution and ROI guardrails. You'll partner closely with product, design, data science, machine learning, and marketing to define strategy and deliver results. Just as importantly, you'll create an environment where engineers do the best work of their careers — coaching, developing talent, and fostering a high-performing team culture.
🧠 You will...
- Co-lead a cross-functional pod with Product and Marketing to define strategy, success metrics, and an execution roadmap for Duolingo’s performance marketing engine, aligned to ROI guardrails and retained-user growth goals.
- Build and evolve the engineering systems that power paid growth at scale: creative experiment frameworks, audience/signal ingestion and privacy-safe list management, budget and bid optimization tooling, and reliable attribution and reporting pipelines.
- Collaborate with data science and ML partners to design experiments, apply personalization/targeting, and translate insights into product improvements and bookings growth.
- Own planning and execution for projects that directly impact revenue; identify the right team‑level metrics to optimize and protect delivery through clear milestones and risk management.
- Bring both technical and product perspectives to new ideas, enabling rapid hypothesis testing without sacrificing reliability, observability, or long‑term maintainability.
- Set and uphold engineering quality standards and practices that improve reliability, scalability, and operability across Ads systems.
✅ You have...
- Experience leading, managing, and building a team of software engineers.
- A track record of owning multi‑engineer, multi‑week technical projects to successful outcomes in a highly experimental, data‑driven environment.
- Strong product instincts and excellent written/verbal communication, with experience aligning diverse stakeholders across engineering, product, design, and analytics.
- Experience working closely with data, experimentation, or machine learning teams to inform prioritization and ship measurable impact (direct ML expertise not required).
- Demonstrated ability to raise the bar on engineering practices for reliability, scalability, and observability.
⭐ Exceptional candidates will have...
- Prior experience with advertising platforms, ad tech integrations, or building ad surfaces in mobile apps.
- Experience improving ad quality and monetization through experimentation, targeting, or programmatic levers, in partnership with business teams.
- Familiarity with COPPA‑compliant or kid‑friendly ad solutions and the trade‑offs of untargeted inventory.
- Background collaborating with sales/biz ops on direct or programmatic campaigns and translating market feedback into product improvements.
- Experience leading teams that span multiple platforms (iOS, Android, backend) and partnering on ML‑powered personalization within consumer apps.
We post a multi-level salary range for all of our roles.
This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
Ready to apply?
Apply to Duolingo
Software Engineer, iOS Core Product - Pittsburgh, PA, USA
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for Inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Opportunity to lead key engineering and product decisions
- Actively shipping production code for the Speechify iOS app
- Work within a dedicated product team
- Participate in product discussions to shape the product roadmap
- Maintain and enhance the existing complex app architecture
An Ideal Candidate Should Have
- Experience. You've worked on products that scaled to a large user base
- Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
- Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
- Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
- Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
- Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
- Technical skills. Swift, SwiftUI
Technical Requirements:
- Swift Programming Language
- SwiftUI experience
- Experience in Multithreading Programming
- Working with CI/CD infrastructure
- Experience with Fastlane
- SOLID principles, the ability to write every single class according to SOLID
- Experience with Git and understanding of different Git strategies
What We offer:
- A fast-growing environment where you can help shape the company and product
- An entrepreneurial crew that supports risk, intuition, and hustle
- The opportunity to make a big impact in a transformative industry
- A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
- Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
- Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
- Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Software Engineer, Windows/Desktop Applications - Pittsburgh, PA, USA
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies
- Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and — when needed — C++.
- Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability.
- Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities.
- Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform.
- Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases.
- Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems — and propose robust architectural or design solutions.
Required:
- 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
- Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
- Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
- Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
- Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
- Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
- Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
- A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.
Preferred / Bonus:
- Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
- Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
- Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
- Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
- Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
- Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.
What we offer
- A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
- A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
- Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
- Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
- A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Site Civil Engineer - Energy Group
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We seek to move the world forward through innovative thinking.
Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services. We blend design excellence with cutting-edge technology to deliver exceptional client value. Our team is passionate about their work and committed to building the next generation of industry leaders, and as a certified Great Place to Work®, Woolpert embraces progress and innovation to create limitless opportunities for career growth.
Position Overview
Woolpert is hiring a Site Civil Engineer to join our dynamic Energy Services Team. This position is responsible for supporting civil site projects, typically including grading and earthwork, site access, erosion control, stormwater management, and other documentation to support the client's permitting and construction efforts. Priority will be given to candidates who are interested in civil site projects.
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:
- You will assist with plan production, perform and review design calculations, drive quality assurance, and support the internal and external project team on a variety of site/civil land development engineering projects.
- Project elements typically include grading and earthwork, site access, erosion control, stormwater management, and other documentation to support the client’s permitting and construction efforts.
- Work will vary from project to project, so our engineers are exposed to a number of different practices which allow them to not only become well rounded, but also to find a specialty they have interest in.
- This Team is expanding with additional expansion expected over the next few years. This allows for lots of potential for upward mobility once experience has been gained.
What You Will Bring:
- BS in Civil Engineering
- 6+ years of experience
- Registered Professional Engineer (P.E.)
- Experience in AutoCAD Civil 3D (strongly preferred) or MicroStation. Exposure to Autodesk Vehicle Tracking, Bluebeam, HydroCAD, Microsoft Suite, and other relevant software products a plus.
- Ability and willingness to learn and work collaboratively in a team environment, across multiple teams and disciplines.
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!
Base pay offered may vary depending on job-related knowledge, skills, and experience.
Find out more about what Woolpert has to offer here: http://woolpert.com/about-us/
Woolpert is an equal-opportunity employer. Woolpert is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. You may view more about EEO on our website: Equal-Employment-Opportunity-The-Law.pdf and EEO is the Law Poster Supplement.
Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting askhr@woolpert.com.
If you need to reschedule or cancel your interview, please reach out to your recruiter by contacting recruiting@woolpert.com.
To all agencies: Please, no phone calls or emails to any employee of Woolpert or any of our subsidiaries about this requisition. All resumes submitted by search firms/employment agencies to any employee at Woolpert via email, the internet, or in any form and/or method will be deemed the sole property of Woolpert, unless such search firms/employment agencies were engaged by Woolpert's Talent Acquisition Team for this requisition and a valid agreement is in place. In the event a candidate who was submitted outside of Woolpert's applicant process is hired, no fee or payment of any kind will be paid.
Ready to apply?
Apply to Woolpert
Senior Component Systems Engineer, ECUs and Dataloggers
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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.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Mission Summary:
We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions.
This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results.
Key Responsibilities:
- Requirements Driven Development / Test Driven Development
- Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges.
- Educate perception engineers and be a champion for V&V best practices.
- Problem Definition and Performance Analysis
- Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates.
- Identify or define appropriate metrics.
- Create dashboards and automate reporting.
- Perception V&V Strategy
- Establish coverage targets and identify data/testing gaps.
- Validate the test strategy and provide early feedback to developers.
- Create actionable test plans involving a spectrum of test modalities.
- Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets.
- Test Technologies
- Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans.
- Advocate for engineering work to address testing and automation limitations.
- Find creative ways to get the desired signals when a straightforward approach is deemed infeasible.
- System/Subsystem Performance Boundaries
- Be a bridge between Perception and the “Systems Readiness and Performance” organization. Act as the primary point of contact between the organizations.
- Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together.
- Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization.
Required Qualifications:
- Education and Experience
- Bachelor's degree in a STEM field (preferred).
- Experience leading Verification and Validation (V&V) for a safety-critical product.
- V&V experience specifically with a self-driving vehicle (strongly preferred).
- Domain Expertise
- General knowledge of the self-driving vehicle software stack.
- Understanding the different types of simulation technologies used in autonomy development.
- Expertise in creating and executing V&V test strategies.
- Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting.
- Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for “go/no-go” decisions.
- Understanding of basic descriptive statistics.
- Programming & Tools
- Proficiency in Python for light scripting, database queries, and automation.
- Familiarity with common dashboarding software.
- Familiarity with AI/Agentic coding tools to accelerate workloads.
- Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins).
- Soft Skills
- Excellent written and verbal communication skills.
- Demonstrated ability in collaboration, leadership, innovation, and creativity.
- A track record of reliability, trustworthiness, and delivering impact.
- Ability to frame safety discussions within a grounded risk assessment framework.
Preferred Qualifications:
- Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented.
- Patents or other evidence of innovation and creativity.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Principal Engineer, Verification & Validation Lead
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Mission Summary:
We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions.
This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results.
Key Responsibilities:
- Requirements Driven Development / Test Driven Development
- Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges.
- Educate perception engineers and be a champion for V&V best practices.
- Problem Definition and Performance Analysis
- Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates.
- Identify or define appropriate metrics.
- Create dashboards and automate reporting.
- Perception V&V Strategy
- Establish coverage targets and identify data/testing gaps.
- Validate the test strategy and provide early feedback to developers.
- Create actionable test plans involving a spectrum of test modalities.
- Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets.
- Test Technologies
- Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans.
- Advocate for engineering work to address testing and automation limitations.
- Find creative ways to get the desired signals when a straightforward approach is deemed infeasible.
- System/Subsystem Performance Boundaries
- Be a bridge between Perception and the “Systems Readiness and Performance” organization. Act as the primary point of contact between the organizations.
- Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together.
- Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization.
Required Qualifications:
- Education and Experience
- Bachelor's degree in a STEM field (preferred).
- Experience leading Verification and Validation (V&V) for a safety-critical product.
- V&V experience specifically with a self-driving vehicle (strongly preferred).
- Domain Expertise
- General knowledge of the self-driving vehicle software stack.
- Understanding the different types of simulation technologies used in autonomy development.
- Expertise in creating and executing V&V test strategies.
- Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting.
- Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for “go/no-go” decisions.
- Understanding of basic descriptive statistics.
- Programming & Tools
- Proficiency in Python for light scripting, database queries, and automation.
- Familiarity with common dashboarding software.
- Familiarity with AI/Agentic coding tools to accelerate workloads.
- Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins).
- Soft Skills
- Excellent written and verbal communication skills.
- Demonstrated ability in collaboration, leadership, innovation, and creativity.
- A track record of reliability, trustworthiness, and delivering impact.
- Ability to frame safety discussions within a grounded risk assessment framework.
Preferred Qualifications:
- Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented.
- Patents or other evidence of innovation and creativity.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Principal Engineer, Verification & Validation Lead
Share this job
Mission Summary:
We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions.
This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results.
Key Responsibilities:
- Requirements Driven Development / Test Driven Development
- Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges.
- Educate perception engineers and be a champion for V&V best practices.
- Problem Definition and Performance Analysis
- Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates.
- Identify or define appropriate metrics.
- Create dashboards and automate reporting.
- Perception V&V Strategy
- Establish coverage targets and identify data/testing gaps.
- Validate the test strategy and provide early feedback to developers.
- Create actionable test plans involving a spectrum of test modalities.
- Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets.
- Test Technologies
- Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans.
- Advocate for engineering work to address testing and automation limitations.
- Find creative ways to get the desired signals when a straightforward approach is deemed infeasible.
- System/Subsystem Performance Boundaries
- Be a bridge between Perception and the “Systems Readiness and Performance” organization. Act as the primary point of contact between the organizations.
- Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together.
- Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization.
Required Qualifications:
- Education and Experience
- Bachelor's degree in a STEM field (preferred).
- Experience leading Verification and Validation (V&V) for a safety-critical product.
- V&V experience specifically with a self-driving vehicle (strongly preferred).
- Domain Expertise
- General knowledge of the self-driving vehicle software stack.
- Understanding the different types of simulation technologies used in autonomy development.
- Expertise in creating and executing V&V test strategies.
- Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting.
- Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for “go/no-go” decisions.
- Understanding of basic descriptive statistics.
- Programming & Tools
- Proficiency in Python for light scripting, database queries, and automation.
- Familiarity with common dashboarding software.
- Familiarity with AI/Agentic coding tools to accelerate workloads.
- Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins).
- Soft Skills
- Excellent written and verbal communication skills.
- Demonstrated ability in collaboration, leadership, innovation, and creativity.
- A track record of reliability, trustworthiness, and delivering impact.
- Ability to frame safety discussions within a grounded risk assessment framework.
Preferred Qualifications:
- Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented.
- Patents or other evidence of innovation and creativity.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
About Us
Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.
If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
About You
As a Solutions Engineer at Gather AI, you will contribute to our efforts to expand market reach, drive revenue growth, and establish strategic partnerships with clients seeking to unlock the potential of AI-driven insights. You will contribute materially to supporting a high-performing sales team and collaborate closely with cross-functional stakeholders to drive the adoption of our transformative technology solutions.
We’re looking for a passionate, pre-sales engineer with demonstrated success in enterprise sales of automation solutions. Experience in warehouse automation/supply chain/logistics technology. You will be comfortable working in a fast-paced start-up/scale up environment, be an independent self-starter and have previous experience in scaling a sales organization. You will be empowered to make a tangible impact at a company where innovative ideas are valued and contributions make a difference.
What You'll Do
- Drive high growth sales while expanding our market presence across the US.
- Support strategic sales plans to achieve revenue targets and drive market penetration in key sectors and geographic markets.
- Support sales in identifying and pursuing new business opportunities, including strategic partnerships, alliances, and enterprise sales opportunities.
- Build and maintain strong relationships with clients, understanding their business challenges and objectives to provide tailored AI solutions that deliver measurable value.
- Track technical sales metrics and trends to ensure continued growth
- Support sales in developing business cases and gaining alignment from technical and operational decision makers
- Develop technical objection handling guidelines to support the sales team in effectively articulating the value proposition of Gather AI's solutions and overcoming customer objections.
- Stay abreast of industry trends, competitive dynamics, and customer needs to inform sales strategies and tactics effectively.
- Collaborate closely with product management, marketing, and other internal teams to align sales efforts with product development, marketing campaigns, and business objectives
What You'll Need
- Bachelor's degree in engineering, or a related field
- 3+ years of experience in enterprise sales in supply chain technology or robotics industry.
- Have a working knowledge of the following and ability to understand customer needs in these areas:
- Demonstrated success in selling high-value, complex solutions to enterprise clients, with a focus on consultative selling and ROI-based discussions.
- Strong understanding of supply chain operations, logistics, and related challenges.
- Proven track record of success in application engineering pre-sales roles.
- Understanding of AI, machine learning, and data analytics, with the ability to articulate complex technical concepts to non-technical audiences.
- Proficiency in using CRM tools to manage and track sales activities
- Strong team collaboration skills with a track record of activating commercial teams to achieve high sales performance.
- Excellent communication and presentation skills, with the ability to influence and persuade key stakeholders at all levels.
- Strategic thinker with a results-oriented mindset and a passion for driving growth and innovation.
- Entrepreneurial spirit with the ability to thrive in a fast-paced, dynamic environment.
Bonus points for...
- Experience collaborating in enterprise selling methods, especially in industrial automation
- Experience in buying and implementing automation at a major ecommerce, retail, or logistics company
- Startup experience, and/or experience working in fast-paced environments
- Advanced degree in business, marketing, engineering, or a related fiel
Compensation and Benefits
- Compensation package will include equity
- Comprehensive medical, dental, vision and life insurance
- Very flexible schedule
- Unlimited PTO and flexible scheduling
If this sounds like a good fit we’d love to meet you. Robotics is the future and we’re leading the charge with our software-only business model. Come help us change the world!
Ready to apply?
Apply to Gather AI
AI Engineer, Internal Enablement & Productivity
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Company Description
Job Description
We are seeking an experienced AI Engineer to join our AI Enablement team, focused on rapidly increasing internal employee productivity and operational efficiency across the company by scaling robust AI integrations and agentic workflows. This role will be central to designing and deploying agents to handle complex, end-to-end tasks, driving measurable improvements in how our core teams (e.g., Product, Engineering, Operations, and Customer Success) work. This strategic and execution-focused role will lead our internal AI Enablement roadmap, initially focusing deeply on improving core departments (e.g., Sales, Marketing, Product, Engineering, Operations, and Customer Success) through agentic automation.
You'll leverage best-in-class AI tools and AI agents (e.g. Gemini and other LLMs) to dramatically increase employee productivity, drive down operational costs, and enable our teams to deliver faster, better outcomes at scale. Your goal is to build our foundation for an AI-enabled future, implementing AI-driven workflows and agents throughout the organization, starting with internal operations and coupling workflows across key functions like GTM.To do this job well, we are looking for someone who can demonstrate project(s) built on LLMs that showcases your skill at reliably automating complex tasks.
- Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
- Experience integrating and working with agent frameworks (e.g. Claude Agent SDK, Google Anti-Gravity, OpenAI Agent SDK)
- Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
- Experience working in highly ambiguous environments, and operate with urgency
- Startup experience, particularly in scaling products from zero to one
Strong Candidates have:
- Deep experience leveraging agents across applications and business workflows to drive meaningful impact
- Experience designing and deploying complex agentic systems using LLMs (e.g. deep research)
- Hands-on work with multi-agent coordination, routing, and tool orchestration
This role is a full-time position located out of our office in Arlington, VA or Pittsburgh, PA. This role may require up to 25% travel.
Scope of Responsibilities
- Designs and builds multi-agent systems with tool use, memory, routing, and planning to automate internal business processes and enhance employee capabilities.
- Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing to increase internal team velocity.
- Contribute to the technical architecture and engineering standards for internal agentic systems, ensuring scalability, reliability, and maintainability across the organization.
- Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle to ensure reliable internal tools.
- Partner with internal Product, Engineering, GTM, and Operations teams to identify and implement AI-driven solutions to optimize their workflows and reduce operational costs.
How We Define Success (Key Metrics)Internal Team Enablement (Operations, Customer Success, Engineering)
- Operational Cost Savings: Reduce operational expenses for targeted teams through workflow automation via AI agents.
- Employee Productivity: Achieve measurable increases in internal team capacity and velocity through AI-driven workflows and tools.
- Internal Adoption Rate: Achieve a high adoption rate of new AI agents and enablement tools within key departments within the first 90 days.
- Accelerated Development: Reduce feature development timelines through AI-assisted coding, documentation, and testing tools.
Qualifications
- U.S. Citizenship is required
Required Skills:
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- Minimum 3 years of experience building and deploying ML or LLM-powered systems in production environments
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python and other programming languages
- Experience with common LLM algorithms and implementations, including coding agents (e.g. Claude Code and GenAI coding best practices).
- Hands-on experience with cloud infrastructure (e.g. AWS, GCP)
- A strong desire to learn and investigate new technologies
- Familiarity with Git source control management
- Ability to work collaboratively with little supervision
- A burning desire to work in a challenging fast-paced tech environment
- A burning desire to work in a challenging fast-paced tech environment
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience with modern front-end frameworks (e.g., React, Next.js, or similar) and API-driven UI architectures
Ready to apply?
Apply to Govini
Forward Deployed Software Engineer
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Company Description
Job Description
Scope of Responsibilities
- Conduct customer site visits to diagnose and understand pain points
- Participate in the end-to-end software development of new feature functionality and design capabilities
- Iterate quickly to progressively unlock customer value
- Craft clean, testable, and maintainable code
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience
- 1+ years of front-end or back-end software development experience (SQL, Java and/or Typescript/React)
- Ability to work independently with little supervision
- A burning desire to work in a challenging, fast-paced tech environment
- Current possession of a U.S. security clearance or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience working within the boundaries of a federally accredited software environment
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience working in a customer-facing or consulting role
Ready to apply?
Apply to Govini
Company Description
Job Description
We are seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring structure to complex defense acquisition data. Working alongside data engineers and data scientists, domain experts, and product teams, you'll create semantic models that provide structured knowledge to AI systems and enable effective search, classification, and analysis across Govini's Ark platform.
This role requires systematic analytical thinking, strong communication skills, and a passion for combining theoretical rigor with practical implementation. The ideal candidate brings hands-on experience in taxonomy and ontology development, along with the ability to guide teams in adopting semantic technologies.This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Build and maintain ontologies, taxonomies, and controlled vocabularies for defense acquisition domains
- Map unstructured data to structured semantic models that integrate with Ark's data infrastructure
- Establish metadata standards and modeling guidelines in collaboration with data engineering and data science teams
- Partner with product and domain experts to translate business requirements into semantic solutions
- Document semantic models and provide guidance to support team adoption and effective use
- Help drive organization-wide understanding and adoption of semantic technologies and best practices.
- Track adoption and measure impact, continuously refining models, tools, and practices
Qualifications
- U.S. Citizenship is required
- Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field
- 3+ years of experience developing ontologies, taxonomies, or knowledge graphs
- Hands-on experience with ontology editors (e.g., Protégé, TopBraid) and graph databases (e.g., Neo4j, RDF stores)
- Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL)
- Proven ability to collaborate with technical and non-technical stakeholders to translate requirements into semantic models
- Understanding of how AI/ML and generative AI systems leverage structured knowledge and ontologies
- Active U.S. security clearance or ability to obtain one
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Master’s degree in Data Science, Computer Science, Information Systems, or a related field
- Familiarity with defense acquisition data and processes
- Experience with data modeling, schema design, or metadata management
Ready to apply?
Apply to Govini
Company Description
Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.
Job Description
We are seeking an experienced Lead AI Engineer to lead our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end and/or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.
In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to do complex tasks.
- Experience leading agentic system development from ideation through production, including technical design, architecture decisions, and day-to-day leadership of Data Scientists and Machine Learning Engineers
- Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
- Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
- Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
- Experience working in highly ambiguous environments, and operating with urgency
- Lead Agile ceremonies and technical planning for the Agentic AI team
Strong Candidates have:
- Experience designing and deploying complex agentic systems using LLMs
- Hands-on work with multi-agent coordination, routing, and tool orchestration
- Passion for building autonomous and semi-autonomous systems that solve real customer problems
This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Designs and builds multi-agent systems with tool use, memory, routing, and planning
- Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing
- Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle
- Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems
Qualifications
- U.S. Citizenship is required
Required Skills:
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- Minimum 3 years of experience building and deploying ML or LLM-powered systems in production environments
- Minimum 2 years of experience leading or mentoring engineering teams in production environments
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python
- Experience with common LLM algorithms and implementations
- Hands-on experience with AWS and cloud infrastructure
- A strong desire to learn and investigate new technologies
- Familiarity with Git source control management
- Ability to work collaboratively with little supervision
- A burning desire to work in a challenging fast-paced tech environment
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience with Claude Code and GenAI coding best practices.
We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.
Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
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Senior AI Engineer, Agentic Interactions
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Company Description
Job Description
We are seeking an experienced AI Engineer to join our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to interact with all Ark interfaces in an agentic manner as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.
In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to interact with frontend interfaces agentically.
Experience designing front-end architectures with explicit state and action models suitable for AI-driven interaction (agent-controlled UI, tool invocation, and deterministic workflows).
- Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
- Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
- Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
- Experience working in highly ambiguous environments, and operate with urgency
- Startup experience, particularly in scaling products from zero to one
Strong Candidates have:
- Experience designing and deploying complex agentic systems using LLMs
- Hands-on work with multi-agent coordination, routing, and tool orchestration
- Love coding agents
This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Designs and builds multi-agent systems with tool use, memory, routing, and planning
- Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing
- Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle
- Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems
Qualifications
- U.S. Citizenship is required
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- 5+ years of progressive experience designing, building, and deploying production-grade machine learning or LLM-powered systems, with demonstrated ownership of end-to-end delivery
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python
- Experience with common LLM algorithms and implementations
- Hands-on experience with AWS and cloud infrastructure
- A strong desire to learn and investigate new technologies
- Familiarity with Git source control management
- Ability to work collaboratively with little supervision
- A burning desire to work in a challenging fast-paced tech environment
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Comfortable with Claude Code and GenAI coding best practices.
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Senior AI Engineer, Agent Workflows
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Company Description
Job Description
We are seeking an experienced AI Engineer to join our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.
In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to do complex tasks.
- Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
- Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
- Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
- Experience working in highly ambiguous environments, and operate with urgency
- Startup experience, particularly in scaling products from zero to one
Strong Candidates have:
- Experience designing and deploying complex agentic systems using LLMs
- Hands-on work with multi-agent coordination, routing, and tool orchestration
- Love coding agents
This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Designs and builds multi-agent systems with tool use, memory, routing, and planning
- Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing
- Own the technical architecture and engineering standards for agentic systems, ensuring scalability, reliability, and maintainability
- Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle
- Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems
Qualifications
- U.S. Citizenship is required
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- 5+ years of progressive experience designing, building, and deploying production-grade machine learning or LLM-powered systems, with demonstrated ownership of end-to-end delivery
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python
- Experience with common LLM algorithms and implementations
- Hands-on experience with AWS and cloud infrastructure
- A strong desire to learn and investigate new technologies
- Familiarity with Git source control management
- Ability to work collaboratively with little supervision
- A burning desire to work in a challenging fast-paced tech environment
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience with modern front-end frameworks (e.g., React, Next.js, or similar) and API-driven UI architectures
- Comfortable with Claude Code and GenAI coding best practices.
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Software Development Engineer in Test (SDET)
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Company Description
Job Description
Scope of Responsibilities
- Create, design, and develop all aspects of our automated testing, including creating and running automated regression test scripts.
- Formulate detailed test plans; create test cases, test scripts, test data and expected results for both manual and automated testing.
- Assist in managing development/DevOps processes towards a CI/CD workflow, aligning to a continuous release-based focus.
- Work directly with development team to iteratively plan, test, and release high-quality feature development
- Effectively understand requirements from customers and work with the internal team to design solutions to meet their requirements
- Generate team metrics and information that improve development practices
- Proactively identify opportunities to reduce risk and improve performance
- Manage and Track the defects/bugs using JIRA and coordinate defect review meetings to prioritize defects
- Coordinate with development team for feature release and defect management
Qualifications
- U.S. Citizenship is required
- Bachelor’s degree or equivalent work experience
- Must have prior experience working in a product organization
- 3+ years of software development in test experience, including expertise in testing methodologies, experience with standard QA and development tools, and the ability to operate within short-release cycles
- 3+ years of Software test automation experience working with the following technologies: Selenium, JavaScript, Python, PostgreSQL
- Minimum of 3 years hands-on experience in developing regression and functional test plans, managing defects, and implementing automated testing
- Excellent troubleshooting, analytical, and problem-solving skills
- Demonstrated ability to balance long-term roadmap vision with the unavoidable shifting of short-term priorities in an agile, startup environment
- Exceptional written and verbal communication with both client-facing and technical team members
- High degree of ability to work autonomously with little supervision in a fast-paced environment
- Self-motivated and organized
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience and interest in National Security
- Proficiency in working with Java applications
- Experience with performance/stress/load/volume testing
- Understanding of technological infrastructure involved in building data products
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Company Description
Job Description
Scope of Responsibilities
- Collaborate with other software engineers, product managers, and client-facing teams to understand client requirements and translate them into technical solutions
- Lead the deployment and integration of our software and data solutions in client environments, ensuring smooth implementation and adherence to project timelines
- Actively participate in designing, building and testing scalable data architecture
- Craft clean, testable, and maintainable code
- Participate in the end-to-end software development of new feature functionality and design capabilities
- Optimize processes for maximum speed and accuracy
- Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience
- 1+ years of software development experience with a high-level software stack
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Ability to communicate technical information to non-technical
- Intermediate SQL development
- Strong proficiency with backend API languages such as Java/Spring Boot (preferred) or equivalent
- Experience performing meaningful tasks in Linux
- Prior hands-on experience working with data-driven analytics
- Experience working in agile/scrum teams
- Ability to work independently with little supervision
- A burning desire to work in a challenging fast-paced tech environment
- Experience working within the boundaries of a Federal government accredited software environment
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience working in a client-facing or consulting role Familiarity with Javascript/ReactJS
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Company Description
Job Description
Scope of Responsibilities
- Define and lead Govini's data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization and linkage.
- Ensure key entities within datasets are identified, resolved and linked to existing entities within the current master data repository.
- Apply various techniques to produce solutions to large-scale optimization problems, including data pre-processing, indexing, blocking, field and record comparison and classification.
- Improve data sharing, increase data repurposing and improve cost efficiency associated with data management efforts.
- Build best practices that help with chain of custody of data so it can be easily traced back to the source for accuracy and consistency.
- Work across functional teams to understand advanced statistical, machine learning, and text processing models and incorporate them into Govini’s existing data engineering infrastructure.
- Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
- Work directly with users as well as SMEs to establish, create and populate optimal data architectures and structures, as well as articulate techniques and results using non-technical language.
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Mathematics or a related technical field
- 3-5 years experience with programmatically transforming data
- Experience with RDBMS
- Advanced SQL programming skills
- Proficient usage of common data formats such as CSV, XML, and JSON
- Requires strong analytical ability and attention to detail
- Ability to work independently with little supervision
- A burning desire to tackle hard problems and create sustainable solutions
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience using Amazon Web Services
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Working knowledge with large (multiple terabytes) amounts of data
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Company Description
Job Description
Scope of Responsibilities
- Secure, operate, and continuously deploy to FedRAMP and IL5 environments.
- Document security processes, vulnerabilities, remediation actions, and compliance measures.
- Partner with engineers to interpret security requirements and plan effective control implementations.
- Integrate security tools into the CI/CD pipeline, run security scans, and remediate vulnerabilities.
- Translate and synthesize complex concepts and architectures into a clear body of evidence artifacts, including System Security Plans (SSP) and architecture diagrams.
- Build and support a CI/CD infrastructure utilizing GitLab, Jenkins, Helm, and Kubernetes.
- Serve as a security Subject Matter Expert (SME) and govern architectures to ensure they remain within the scope of an ATO.
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Mathematics or a related technical field
- Linux/Unix experience, including command line and shell scripting
- Hands-on operational AWS/GCP/Azure experience
- Experience with cybersecurity frameworks (FedRAMP, FISMA, DoD SRG, NIST 800-171)
- Experience building and maintaining CI/CD pipelines with Jenkins, Gitlab CI, or related technologies
- Experience with Systems Monitoring/Alerting (Splunk, PagerDuty, Prometheus, Alertmanager, Grafana)
- Experience with infrastructure as code
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience maintaining compliance within an accredited environment, ensuring all systems and processes operate according to the parameters of the granted ATO.
- Programming experience with any of the following languages: Golang, Java, Python, Groovy, Bash, or Ruby
- Experience with container-based architectures (Docker, Kubernetes, Helm)Experience deploying and supporting a microservices architecture
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Familiarity with test automation, including security testing and performance testing
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Lead Data Platform Engineer
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Company Description
Job Description
Scope of Responsibilities
- Design and implement platform architecture enhancements to support scalability and reliability
- Design, build, maintain, and support data platform solutions to enable efficient data consumption across functional teams, including AI/ML, Data Science, and Software
- Evaluate and integrate emerging technologies to improve the data platform
- Collaborate with teams across the organization to understand business needs and translate them into data solutions
- Mentor junior engineers by providing code reviews, guidance, and technical leadership through promotion of engineering best practices
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Mathematics or a related technical field
- 5+ years of experience in building and maintaining scalable data platforms or services
- Strong proficiency in Python and SQL
- Proven experience in architecting and implementing data pipeline frameworks, including orchestration
- Solid understanding of data security and governance best practices
- Hands-on with big data frameworks, such as Apache Spark
- Knowledge of cloud-native data lake/lakehouse architectures
- Demonstrated ability to collaborate with stakeholders to deliver data platform solutions that support AI, machine learning, data science, and web applications
- Strong analytical skills and attention to detail
- Ability to work independently in a fast-paced environment
- A passion for solving complex problems and building sustainable, scalable systems
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience using Amazon Web Services
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Working knowledge of large (multiple terabytes) amounts of data
- We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.
We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.
Ready to apply?
Apply to Govini
Company Description
Job Description
Scope of Responsibilities
- Lead software engineering efforts from ideation through implementation as well as the day-to-day of a small team containing both front-end and back-end software engineers
- Lead Agile ceremonies for the software engineering team
- Establish coding and testing best practices and standards for Engineers
- Develop, test, and deploy modern software applications and new features
- Oversee the quality of Engineers’ deliverables, such as coding, testing, debugging
- Collaborate with Govini’s product team to turn business requirements into technical specifications
- Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
- Collaborate with data engineers, data scientists, QA engineers, and DevOps engineers to improve the overall quality and performance of the platform
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Mathematics or a related technical field
- 5 years of software development experience with an object-oriented programming language comparable to Java, C++, Python, C#, or Ruby
- Hands-on experience with Spring Boot, Quarkus, or similar technologies
- Knowledge of data structures, object-oriented design, algorithms, exception handling, and troubleshooting
- Experience writing SQL and implementing database design
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Previously experienced working in a product organization
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Senior Machine Learning Engineer
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Company Description
Job Description
Scope of Responsibilities
- Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform
- Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods
- Ability to work with taxonomy experts to create and validate dataset annotation
- Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features
- implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Ark.ai platform to enhance user experience.
- Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system
- Establish meaningful criteria for evaluating algorithm performance and suitabilityImplement working, scalable, production-ready models and code
- Keep up to date with Machine Learning best practices and evolving open-source frameworks
- Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
- Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers
Qualifications
- U.S. Citizenship is required
- Advanced degree, or bachelor’s with at least 3 years of experience, in Data Science, Machine Learning or a related field
- Minimum 3 years experience with hands-on development of NLP models
- In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling
- Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models
- Advanced software skills in Python
- Advanced ability in forming SQL queries
- A strong desire to learn, investigate, and implement cutting-edge technologies
- Ability to work collaboratively throughout the design process.
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience in deploying ML models in Kubernetes environments
- Experience developing custom training sets for large language models
- Experience productionizing transformer-based models
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Company Description
Job Description
Scope of Responsibilities
- Actively participate in designing, building and testing scalable data architecture
- Craft clean, testable, and maintainable code
- Participate in the end to end software development of new feature functionality and design capabilities
- Optimize processes for maximum speed and accuracy
- Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
- Work in an agile team in a scrum process, collaborating closely with fellow software engineers, DBEs, and QA engineers
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience
- 6+ years of software development experience with a high-level software stack
- Advanced SQL development
- Familiarity with PostgreSQL administration
- Strong proficiency with backend API languages such as Java/Spring Boot (preferred) or equivalent
- Experience performing meaningful tasks in Linux
- Prior hands-on experience working with data-driven analytics
- Experience working in agile/scrum teams
- Ability to work independently with little supervision
- A burning desire to work in a challenging fast-paced tech environment
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Familiarity with Git source control management
- Familiarity with Javascript/ReactJS
- Familiarity with CSS
- Previously experience working in a product organization
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Machine Learning Engineer III
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About us
TeleTracking began with a simple but powerful belief that no one should wait for the care they need. More than a slogan, it’s a promise to continually improve healthcare.
TeleTracking builds groundbreaking technology incorporating deep clinical expertise. Our solutions are used in the nation’s largest healthcare systems and around the world to positively impact patients, families and communities.
What’s your contribution to the TeleTracking story?
When you chose to bring your passion and skills to helping achieve our purpose, you’ll be part of a team that understands that there’s a human life behind every data point. Your skills, curiosity, and compassion—will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare.
About the role
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team at TeleTracking Technologies, focusing on improving patient care. The ideal candidate will have a strong background in developing, deploying, and optimizing machine learning models, as well as expertise in data ingestion and modeling techniques. This role requires a deep understanding of hospital operations, healthcare data, clinical workflows, and regulatory requirements (such as HIPAA or GDPR). The successful candidate will be passionate about leveraging advanced technologies to enhance patient care and operational efficiency.
What you will do
- Design, develop, and implement machine learning and deep learning models to address hospital-specific challenges such as patient flow optimization, resource allocation, bed management, and predictive analytics for patient outcomes.
- Build and optimize data ingestion and modeling pipelines as needed
- Utilize domain driven techniques and design patterns to build and contribute to technical
- design.
- Collaborate with cross-functional teams including data scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions.
- Work with large-scale healthcare and hospital datasets including structured data (EHRs, hospital operational data), unstructured data (clinical notes, imaging).
- Ensure data privacy and security, adhering to healthcare regulations such as HIPAA and GDPR, especially when working with sensitive hospital data.
- Mentor junior engineers and data scientists, providing guidance on machine learning techniques, particularly those relevant to hospitals and healthcare systems.
- Monitor, troubleshoot, and enhance the performance of deployed models using MLOps best practices, ensuring they operate effectively in hospital environments.
- Write technical architectural and design documents.
What we look for
- Proven experience in end-to-end design and deployment of machine learning models from ideation to production in healthcare or similar settings.
- Strong programming skills and experience with object or component-oriented development software, one or more of: Python or R, with proficiency in ML frameworks, one or more of: TensorFlow, PyTorch, or Scikit-learn.
- Expertise in NLP, computer vision, or other specialized machine learning techniques applicable to healthcare and hospital environments.
- Deep knowledge of a scripting or statistical programming language (Python preferred). Ability to efficiently work with very large datasets and deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.)
- Assess model performance; train multiple models; carry out tuning. Run A/B tests on models.
- Comfortable writing complex SQL queries and developing python packages.
- Experience with cloud-based management and hosting, one or more of: AWS, Azure, GCS, CloudFormation, Terraform, or Ansible. Interest in developing services as well as the underlying infrastructure
- Experience with database management system software, one or more of: Oracle, MSSQL, MongoDB, MySQL, DynamoDB, or PostgreSQL.
- Experience with Version Control Software, one or more of: git, Mercurial, CVS, TFS, or Subversion.
- Strong understanding and experience executing several software development methodologies and life cycles. Ability to understand and translate business requirements into technical specifications.
- Experience with agile development practices.
- Excellent written and oral communication skills. Adept and presenting complex topics, influencing, and executing with timely / actionable follow-through.
- Strong analytical and problem-solving skills with the ability to convert information into practical training deliverables. Uses rigorous logic and methods to solve difficult problems.
- Knowledge of clinical workflows and hospital operations, and how technology can enhance efficiency and patient care.
- Familiarity with healthcare-specific machine learning challenges, such as data imbalance, longitudinal data, and real-time processing in hospital environments.
- Be an active listener, probe requirements for all projects from relevant stakeholders, stay nimble and willing to produce rapid iterations.
Education
- Bachelor's degree in computer science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 7 or more years of experience.
- Master's or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 5 or more years of experience. (preferred)
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
Benefits
- Medical/dental/vision plans 100% paid for employees and family members without coverage, which start from day one!
- Life and AD&D
- Flexible Spending Accounts: Medical, Dependent Care, and Transportation
- 401 (k) Retirement Savings
- Tuition Reimbursement
- Military Paid Leave (up to 6 months of base salary while on military leave)
- Paid Time Off
- Paid parental leave
Disclaimer:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions. The term "qualified individual with a disability" means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position.
TeleTracking is an Equal Opportunity/Affirmative Action employer. TeleTracking recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, veteran status, physical or mental disability, genetic information, sexual orientation or preference, gender identity, marital status, or citizenship status.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
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Senior Engineer Team Lead
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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.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Software Engineer, Core Experiences - Pittsburgh, PA, USA
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Mission
Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.
What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.
Overview
We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.
What You’ll Do
- Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
- Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
- Ship cloud functions, lightweight backend services, and jobs using Kotlin
An Ideal Candidate Should Have
- Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
- Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
- Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
- Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
- Preferred Tech Stack:
- Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform)
- Prior experience with GCP is a plus
What We Offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Tech Lead, Android Core Product - Pittsburgh, PA, USA
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
- Shape the future of our Android team
- Own, maintain and improve reliability metrics for key features
- Participate in discussions across different teams - Product, Design, Engineering
- Review pull requests, and support other teammates
- Handle critical issues or cope with unexpected challenges
- Take ownership of feature releases and provide nightly builds for the QA team
An Ideal Candidate Should Have
- 5+ years of software engineering experience
- Familiarity with Android components
- Experience building or contributing to at least one Android app
- Product design intuition and user empathy
- Drive to push the boundaries of Android UI/UX
- Understanding of the importance of tests and how to approach writing tests
- Self-drive to improve the app and codebase above and beyond what's outlined in the spec
- Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
- Excellent communication skills
- User oriented problem solving approach
- Driven with continuous feedback from leaders
Bonus:
- Experience building, maintaining, or otherwise contributing to open source projects in Android
- Experience with iOS, Web or NodeJS
Technologies we use:
- Kotlin
- Kotlin Coroutines
- Kotlin Flow
- Jetpack Navigation
- Dagger 2
- Room
- Custom Views, Canvas & Paint
- Jetpack Compose
- JUnit
What We offer:
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Software Engineer, Platform - Pittsburgh, PA, USA
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
- Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
- Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
- Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience
An Ideal Candidate Should Have
- Proven experience in backend development: TS/Node (required)
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
- Preferred: Experience with Docker and containerized deployments
- Preferred: Proficiency in deploying high availability applications on Kubernetes
What We Offer
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Motion Planning Engineer
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Senior Motion Planning Engineer (Evergreen)
On our Motion Planning team, you'll apply your passion in robotics and software development for production-ready autonomous vehicles. In this role you'll perform cutting-edge research, develop advanced algorithms, and build robust software to generate safe, comfortable, and intuitive routes and motions.
Role responsibilities:
- Lead the research and development of novel algorithms for motion planning in autonomous driving, including but not limited to advanced search-based methods, sophisticated geometry-based methods, and decision making under uncertainty with a strong emphasis on probabilistic approaches.
- Architect and integrate complex combinations of motion planning and prediction algorithms, driving their evaluation and refinement for real-world deployment.
- Design and build a robust, scalable, and high-performance codebase that facilitates rapid exploration, prototyping, and rigorous evaluation of innovative motion planning approaches and algorithms.
- Drive technical collaboration and interface seamlessly with perception and prediction components upstream and trajectory optimization, tracking and control components downstream, ensuring end-to-end system performance.
- Leverage your deep software development and research expertise to teach others better software practices and principles, fostering a culture of technical excellence.
- Guide and mentor junior team members, cultivating a culture of product-focused engineering, rigorous research, and advanced development.
What we're looking for:
- PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field; or a Master's degree with 2+ years of experience in the robotics (preferably AV industry)
- 2+ years of research experience in robotics / motion planning, with a proven track record of contributing to state-of-the-art solutions
- 2+ years of C++ software development, with an emphasis on developing high-performance and reliable systems
- Past experience owning and leading technical development on complex features from problem formulation through research, implementation, and deployment in a production environment.
- Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology.
Skills appreciated
- Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden Markov Models, and Particle Filters.
- Experience with Bayesian modeling and inference techniques for decision making under uncertainty.
- Experience with the Bazel build framework
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional