Principal Engineer, Team Lead - Behaviors

Summary

Join Motional's Behaviors team as a leader and technical expert in developing ML models for self-driving vehicles. You will define and execute motion planning and prediction projects, lead and grow a team of engineers, design and implement behavior models using machine learning and AI, and deploy solutions onto autonomous vehicle fleets. Collaborate with other teams to validate and enhance product performance, and communicate progress to executive leadership. This role requires a Masters or Ph.D. in Computer Science or a related field, proven leadership skills, extensive experience managing engineers, and expertise in deep learning frameworks and Python. The ideal candidate will have experience with autonomous vehicles or robotics, advanced knowledge of software engineering principles, and excellent communication skills. Motional offers a competitive salary and benefits package.

Requirements

• 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 methods
• Excellent communication and interpersonal skills

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Medical
• Dental
• Vision
• 401k with a company match
• Health saving accounts
• Life insurance
• Pet insurance