1

Director Autonomous Driving Engineer Jobs in Boston, MA

Senior Engineer

Boston, MA ยท On-site

$113K - $155K/yr

Senior Engineer (Autonomy Integration) Ref. No. N266 BOSTON - REMOTE U.S. ONLY FULL-TIME What You ... for autonomous driving (AD). * Integrate and evaluate combinations of algorithms. * Design and ...

Principal Engineer

Boston, MA ยท On-site

$240 - $330/hr

Our teams are made up of engineers, researchers, innovators, dreamers, and doers. Together, we can ... autonomous driving technology, excited by intellectual challenges, and interested in pursuing ...

Principal Engineer Motion Planning

Boston, MA ยท On-site +1

$240K - $330K/yr

If you possess a passion for autonomous driving, thrive on solving real-world challenges, and ... PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a ...

Principal Engineer Motion Planning

Boston, MA ยท On-site

$240K - $330K/yr

If you possess a passion for autonomous driving, thrive on solving real-world challenges, and ... PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a ...

Senior Software Engineer, Next Gen Compute

Boston, MA ยท Hybrid

$133K - $175K/yr

As a senior engineer in the Next-Gen Technologies team, you will help us improve the compute performance of our current generation and next-generation autonomous driving systems through participating ...

Develop a variety of algorithms on planning for autonomous driving, including but not limited to ... Develop a culture of product focused engineering, research, and development What we're looking for:

Staff Engineer

Boston, MA ยท On-site +1

$205K - $272K/yr

Experience with embedded systems and real-time optimization, especially in the autonomous driving ... Strong programming skills in C++ and/or CUDA programming The salary range for this role is an ...

Staff Engineer

Boston, MA ยท On-site

$205K - $272K/yr

Experience with embedded systems and real-time optimization, especially in the autonomous driving ... Strong programming skills in C++ and/or CUDA programming The salary range for this role is an ...

Machine Learning Engineer, Data Mining

Boston, MA ยท On-site +1

$144K - $192K/yr

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ...

Experience with machine learning in the autonomous driving domain. * Experience with ML frameworks ... Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a ...

Senior Software Engineer, ML Evaluation

Boston, MA ยท On-site +1

$159K - $207K/yr

Experience with machine learning in the autonomous driving domain. * Experience with ML frameworks ... Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a ...

Machine Learning Engineer, Data Mining

Boston, MA ยท On-site +1

$144K - $192K/yr

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ...

next page

Showing results 1-20

Director Autonomous Driving Engineer information

See Boston, MA salary details

$79.3K

$211.5K

$275.9K

How much do director autonomous driving engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for director autonomous driving engineer in Boston, MA is $211,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $153,700.00 and $274,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a director autonomous driving engineer?

To thrive as a Director Autonomous Driving Engineer, you need deep expertise in robotics, computer vision, sensor fusion, and machine learning, typically supported by an advanced degree in engineering or computer science and significant industry experience. Familiarity with tools such as ROS, simulation platforms, automotive-grade software systems, and relevant safety certifications (like ISO 26262) is crucial. Strong leadership, strategic thinking, and effective communication are essential soft skills for guiding multidisciplinary teams and collaborating with stakeholders. These abilities are vital for driving innovation, ensuring technical excellence, and delivering safe, reliable autonomous driving solutions.

What is the difference between Director Autonomous Driving Engineer vs Senior Autonomous Driving Engineer?

AspectDirector Autonomous Driving EngineerSenior Autonomous Driving Engineer
ResponsibilitiesOversees autonomous driving projects, manages teams, sets strategic goalsDesigns and develops autonomous driving systems, implements algorithms
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsRelevant engineering degree, several years of experience in autonomous systems
Work EnvironmentLeadership roles in R&D teams, cross-department collaborationHands-on engineering in labs or development teams
Industry UsageCommon in tech and automotive companies for strategic rolesCommon in engineering teams focused on system development

The main difference is that the Director Autonomous Driving Engineer focuses on leadership, strategy, and project oversight, while the Senior Autonomous Driving Engineer is primarily involved in technical development and implementation. Both roles require relevant technical credentials, but the director position emphasizes management and strategic planning within autonomous driving projects.

How does a director autonomous driving engineer typically collaborate with cross-functional teams within an organization?

As a Director of Autonomous Driving Engineering, you'll regularly collaborate with cross-functional teams such as hardware engineers, data scientists, product managers, safety and compliance experts, and user experience designers. Your role involves aligning the technical roadmap with business goals, ensuring seamless integration of software and hardware, and facilitating effective communication between departments. This collaborative approach is crucial for addressing complex challenges, maintaining project momentum, and ensuring the autonomous driving system meets safety, regulatory, and performance standards.

What does a director autonomous driving engineer do?

A Director Autonomous Driving Engineer leads and manages teams responsible for developing self-driving vehicle technologies. This role oversees the technical strategy, project execution, and integration of hardware and software for autonomous systems. Directors in this position collaborate closely with cross-functional teams, ensure safety and regulatory compliance, and drive innovation to advance autonomous vehicle capabilities. They also mentor engineers, set technical standards, and work with stakeholders to align product goals with business objectives.
What are the most commonly searched types of Autonomous Driving Engineer jobs in Boston, MA? The most popular types of Autonomous Driving Engineer jobs in Boston, MA are:
What job categories do people searching Director Autonomous Driving Engineer jobs in Boston, MA look for? The top searched job categories for Director Autonomous Driving Engineer jobs in Boston, MA are:
Infographic showing various Director Autonomous Driving Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $211,532 per year, or $101.7 per hour.

Principal Engineer, Team Lead - Behaviors

Motional

Boston, MA โ€ข On-site

Full-time

Re-posted 2 days ago


Job description

On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users.ย 

We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:
  • Define and execute motion planning and prediction projects that improve our self-driving vehicles' capability to safely, comfortably and legally navigate complex traffic scenarios
  • Lead, manage and grow a team of engineers
  • Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
  • Productionize and deploy solutions onto autonomous vehicle fleets
  • Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products' on-road performance
  • Communicate strategies, progress and challenges to executive leadership
What We're Looking for:
  • Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
  • Proven leadership skills at executing large, complex technical initiatives
  • Extensive experience managing and leading engineers
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Fluency in Python, including standard scientific computing libraries
  • Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
  • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methodsย 
  • Excellent communication and interpersonal skills
Bonus Points:
  • Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
  • Experience with state of the art generative AI, and/or reinforcement learning, paradigms
  • Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
  • Strong programming skills in C++ and/or CUDA programming