Principal Engineer, Team Lead - Behaviors

Motional•Boston, MA

14h•$240,000 - $330,000

About The Position

Motional is hiring a Principal Engineer and Team Lead for its Behaviors team, which develops machine learning models to determine how self-driving vehicles navigate complex traffic scenarios and predict the behavior of other road users. The team works on prediction and ML planning to advance Level 4 autonomous driving technology. The role will lead a team of engineers and define and deliver motion-planning and prediction projects that help autonomous vehicles navigate safely, comfortably, and legally. It will involve designing and implementing behavior models using machine learning, generative AI, and reinforcement learning; deploying solutions to autonomous vehicle fleets; and working with perception, simulation, data platform, and integration teams to improve on-road performance. The role also communicates strategies, progress, and challenges to executive leadership. Motional is a driverless technology company focused on making autonomous vehicles safe, reliable, and accessible. The company describes its culture as people-first, diverse, inclusive, and oriented toward scaling its technology toward commercialization. The position’s estimated base salary range is $240,000–$330,000 USD. Eligible candidates may participate in Motional’s benefits program.

Requirements

Master’s or Ph.D. in Computer Science or a related technical field, or equivalent industry experience.
Proven leadership skills in 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 machine-learning solutions for autonomous vehicles or robotics.
Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods.
Excellent communication and interpersonal skills.

Nice To Haves

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.
A track record of publications in relevant conferences, such as CVPR, ICML, NeurIPS, ICCV, or ICL.
Strong programming skills in C++ and/or CUDA.

Responsibilities

Define and execute motion planning and prediction projects to improve autonomous vehicles’ ability to safely, comfortably, and legally navigate complex traffic scenarios.
Lead, manage, and grow a team of engineers.
Design behavior models and lead their implementation using 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 improve on-road performance.
Communicate strategies, progress, and challenges to executive leadership.