Senior Machine Learning Engineer

Responsibilities

• Develop and maintain high-performance, low-latency end-to-end planning algorithms for highway, urban, and parking autonomous-driving scenarios.
• Design reusable and optimized behavior and motion-planning software architectures for Level 2/3/4 autonomous-driving systems.
• Develop advanced machine-learning algorithms for data-driven driving behavior and end-to-end planning.
• Lead software development and deploy autonomy algorithms through closed-loop pipelines and real-world vehicle systems.
• Collaborate with cross-functional teams to implement and deploy robust motion-planning products.

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 models, generative models such as diffusion or flow-matching models, and autonomous-driving performance metrics.
• Expert-level hands-on experience with Python and PyTorch.
• Strong knowledge of state-of-the-art perception, prediction, and planning approaches for autonomous driving.
• Strong foundation in physics, probability, and statistics.
• Experience using AI-assisted development tools to improve software engineering efficiency, code quality, and workflows.
• Preferred: experience building and validating real-time autonomous-driving or robotics systems, including planning and behavior prediction.
• Preferred: proficiency in C++ and strong software design and engineering skills.

Benefits

• Medical, dental, and vision insurance; life and disability coverage; paid time off, paid holidays, paid sick leave, and a 401(k) retirement plan.
• Eligible employees may participate in Lucid’s equity program and/or discretionary annual cash incentive program.
• The position is salaried/exempt according to the posting, with salaried employees accruing up to 160 hours of paid time off.