Staff Machine Learning Engineer, Autonomous Driving & Parking
Lucid Motors - Newark, California, United States, 94560
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Overview
Staff Machine Learning Engineer, Autonomous Driving & Parking
3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. We are seeking a Staff Machine Learning Engineer, Autonomous Driving & Parking to join our team. This role is based in Newark, CA and requires employees to be onsite five days a week. Responsibilities include designing, developing, and evaluating cutting-edge machine learning architectures for autonomous driving, focusing on actor prediction, behavior modeling, and motion planning. The role involves leading software development initiatives by applying deep learning architecture expertise to deploy robust planning systems in real-world environments, designing reusable, high-performance, low-latency and high-reliability behavior and motion planning software architectures for Level 2/3/4 autonomous driving and parking systems, conducting research into state-of-the-art ML planning and prediction techniques and integrating these innovations into production systems. The engineer will stay current with academic and industry advancements in planning and prediction, write high-quality automotive-grade software compliant with industry standards for safety and quality, and collaborate cross-functionally to ensure seamless implementation and deployment of autonomous driving and parking features. Required qualifications include a Master’s or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field, 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), proven experience building reliable production systems with large-scale architecture, evaluation pipelines, scalable and efficient deep learning models, proficiency in C++ and strong hands-on experience with software engineering design principles, and background in perception, prediction or planning in ADAS, environment modeling, autonomous vehicles or robotic applications. Preferred qualifications include 3+ years of experience in ML development, experience with foundational models, large language models (LLMs), or end-to-end AV planning systems, and experience porting ML models to embedded platforms with strong C++ fundamentals. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Motor Vehicle Manufacturing Referrals increase your chances of interviewing at Lucid Motors by 2x Get notified about new Machine Learning Engineer jobs in
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