Sr. Machine Learning Engineer, Autonomous Driving & Parking

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