Senior Machine Learning Engineer, End-to-End Planning
Lucid Motors, Newark, CA
The role
- 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.
What you need
- Master’s degree or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field.