Senior Machine Learning Engineer, End-to-End Planning
About The Position
Develop and maintain high-performance, low-latency end-to-end planning algorithms that enable vehicles to safely, accurately, and reliably navigate highway, urban, and parking scenarios in production autonomous driving applications. Design reusable and optimized behavior and motion planning software architectures for Level 2/3/4 autonomous driving systems. Develop and implement advanced machine learning algorithms for data-driven driving behavior and end-to-end planning. Lead software development by applying full-stack autonomy expertise to design and deploy algorithms in closed-loop pipelines and real-world vehicle systems. Collaborate closely with cross-functional teams to ensure seamless, robust implementation and deployment of motion planning products for autonomous driving systems.
Requirements
- Master’s degree or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field.
- Professional experience implementing reliable production systems involving vision-action models, vision-language-action (VLA) models, generative models such as diffusion or flow-matching models, and autonomous driving performance metrics.
- Expert-level knowledge of hands-on experience with Python and PyTorch.
- Solid understanding of state-of-the-art models and approaches in perception, prediction, and planning for autonomous driving.
- Strong foundation in physics, probability, and statistics.
- Experience leveraging AI-assisted development tools to improve software engineering efficiency, code quality, and development workflows.
Nice To Haves
- Experience building and validating real-time autonomous driving or robotics systems, including planning and behavior prediction.
- Proficiency in C++ with strong software design and engineering skills.
Responsibilities
- Develop and maintain high-performance, low-latency end-to-end planning algorithms that enable vehicles to safely, accurately, and reliably navigate highway, urban, and parking scenarios in production autonomous driving applications.
- Design reusable and optimized behavior and motion planning software architectures for Level 2/3/4 autonomous driving systems.
- Develop and implement advanced machine learning algorithms for data-driven driving behavior and end-to-end planning.
- Lead software development by applying full-stack autonomy expertise to design and deploy algorithms in closed-loop pipelines and real-world vehicle systems.
- Collaborate closely with cross-functional teams to ensure seamless, robust implementation and deployment of motion planning products for autonomous driving systems.
Benefits
- medical, dental, and vision insurance
- life and disability coverage
- paid time off
- paid holidays
- paid sick leave
- 401(k) retirement plan
- equity program
- discretionary annual cash incentive program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
