Lucid is seeking an ML Engineer to design, develop, and evaluate cutting-edge machine learning architectures for ADAS actor prediction, behavior modeling, and motion planning to advance their luxury electric and autonomous driving systems.
Requirements
- Expert-level proficiency in Python and ML libraries such as PyTorch or TensorFlow
- Proficiency in C++ and strong hands-on experience with software engineering design principles
- Proven experience deploying production systems that integrate large-scale ML models, evaluation pipelines, and performance metrics
- Solid understanding of state-of-the-art techniques in perception, prediction, or planning for autonomous systems
- Demonstrated experience designing scalable and efficient deep learning models
- Understanding of traditional (non-ML) planning methods
- Background in at least one of the following: perception, environment modeling, prediction, or planning in ADAS, autonomous vehicles, or robotic applications
Responsibilities
- Design, develop, and evaluate cutting-edge machine learning architectures for ADAS actor prediction, behavior modeling, and motion planning
- Prototype, engineer, test, release, and launch ML-based features for ADAS and autonomous driving systems
- Conduct research into state-of-the-art ML planning and prediction techniques and bring these innovations into production systems
- Stay current with academic and industry advancements in planning and prediction, integrating promising methodologies into Lucid’s ADAS stack
- Analyze data from simulation and fleet logs to identify and extract critical driving scenarios
- Support data curation, storage, and transport workflows to facilitate automated inference and model development
Other
- This role is based in Newark, CA and requires employees to be onsite five days a week.
- Master’s or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field
- 3+ years of experience in ML development, particularly in large-scale data and real-time systems
- Academic or hands-on experience with imitation learning, reinforcement learning, or simulation-based training
- Experience working with foundational models, large language models (LLMs), or end-to-end AV planning systems
- Experience porting ML models to embedded platforms, with strong C++ fundamentals
- By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
- To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
