Lucid is seeking a Sr. Machine Learning Engineer, Autonomous Driving & Parking to design, develop, and evaluate cutting-edge machine learning architectures for autonomous driving, focusing on actor prediction, behavior modeling, and motion planning.
Requirements
- Expert-level proficiency in Python and ML libraries such as PyTorch or TensorFlow
- Solid understanding of state-of-the-art ML techniques and DL architectures (e.g. transformers), and their application to ADAS perception and planning stacks
- Proven experience building reliable production systems with large-scale architecture, evaluation pipelines, scalable and efficient deep learning models, and performance metrics
- Proficiency in C++ and strong hands-on experience with software engineering design principles
- Background in at least one of the following is a must: perception, prediction or planning in ADAS, environment modeling, autonomous vehicles or robotic applications
- 3+ years of experience in ML development, particularly in large-scale data and real-time systems
- Experience working with foundational models, large language models (LLMs), or end-to-end AV planning systems
Responsibilities
- Design, develop, and evaluate cutting-edge machine learning architectures for autonomous driving, focusing on actor prediction, behavior modeling, and motion planning.
- Lead software development initiatives by applying deep learning architecture expertise to deploy robust planning systems in real-world environments
- Lead the design for reusable, high-performance, low-latency and high-reliability behavior and motion planning software architectures for Level 2/3/4 autonomous driving and parking 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
- Write high-quality, automotive-grade software compliant with industry standards for safety and quality
- Collaborate cross-functionally to ensure seamless implementation and deployment of autonomous driving and parking features
Other
- Master's or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field
- Experience porting ML models to embedded platforms, with strong C++ fundamentals
- Community for innovators who want to make an immediate and significant impact.
- If you are driven to create a better, more sustainable future, then this is the right place for you.
