Engineer

Sr. Machine Learning Engineer, Autonomous Driving & ParkingAt Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a 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.We are seeking a Sr. Machine Learning Engineer, Autonomous Driving & Parking to join our team.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.