Senior ML Engineer: End-to-End Autonomous Driving

Lucid Motors; California (MO); On-site; USD 158,000 - 218,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability coverage

Paid time off

Paid holidays

Paid sick leave

401(k) plan

Equity program

Cash incentive

Job summary

Lucid Motors seeks a Senior Machine Learning Engineer for End-to-End Planning to develop high-performance planning algorithms for autonomous driving. You will design scalable architectures, implement ML-based driving behavior, and deploy algorithms in real-world vehicle systems.

Required are a Master’s/PhD in CS/Robotics/ML, strong Python/PyTorch skills, and a solid foundation in physics and statistics. Proficiency in C++ and experience with real-time systems are a plus.

Qualifications

• Master’s degree or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field.
• Hands-on experience implementing production systems involving vision-action models, vision-language-action models, diffusion or flow-matching models, and autonomous driving performance metrics.
• Expert-level knowledge of Python and PyTorch.
• Strong foundation in physics, probability, and statistics.
• Experience leveraging AI-assisted development tools to improve software engineering efficiency.

Responsibilities

• Develop and maintain high-performance, low-latency end-to-end planning algorithms for autonomous driving in production.
• Design reusable and optimized behavior and motion planning architectures for Level 2/3/4 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 with cross-functional teams to ensure robust deployment of motion planning products.

Skills

Python

PyTorch

C++

Autonomous driving

Education

Master’s degree or Ph.D. in CS/Robotics/ML

Tools

Compiler toolchain

Job description

Lucid Motors seeks a Senior Machine Learning Engineer for End-to-End Planning to develop high-performance planning algorithms for autonomous driving. You will design scalable architectures, implement ML-based driving behavior, and deploy algorithms in real-world vehicle systems.

Required are a Master’s/PhD in CS/Robotics/ML, strong Python/PyTorch skills, and a solid foundation in physics and statistics. Proficiency in C++ and experience with real-time systems are a plus.