Staff Machine Learning Engineer, Autonomous Driving & Parking
Newark, CA
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Full Time Senior-level / Expert USD 171K - 251K
Lucid Motors
Lucid is the future of sustainable mobility, designing electric cars that further reimagines the driving experience.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.
Role:
- 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
Required Qualifications:
- 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), 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
Preferred Qualifications:
- 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
- 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.Tags: Architecture Autonomous Driving Computer Science Deep Learning Engineering LLMs Machine Learning ML models Pipelines Privacy Python PyTorch Research Robotics TensorFlow Transformers
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Insurance
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.