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Lucid Motors

Robot type
Autonomous Vehicle
Location
SouthfieldMichiganUSA
Job type
Software
Posted
Oct 30, 2025
Full-time

Senior Engineer, Motion Planning and Controls, Autonomous Driving

Job description

We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.

Leading the future in luxury electric and mobility At 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.

Job responsibilities

  • Motion Planning & Trajectory Optimization Develop and enhance trajectory optimization algorithms (e.g., iLQR / MPC-based approaches) for low-speed scenarios
  • Design and implement constraint-aware optimization, including
  • Improve local planners to generate control-friendly trajectories
  • System Architecture & Performance Optimization Refactor and scale planning stack architecture for maintainability and extensibility
  • Optimize CPU usage and explore parallel/GPU acceleration opportunities
  • Improve system-level behaviors such as: Stability under dynamic constraints
  • Scalability across scenarios and vehicle platforms
  • Debugging, Validation, and Production Integration Investigate and resolve real-world issues such as: Curvature discontinuities, velocity/trajectory mismatches, and edge-case steering behavior

Job requirements

  • M.S. or Ph.D. in Robotics, Control, Electrical Engineering, or related field
  • 2+ years of software development experience in autonomous driving, ADAS, or robotics, with a focus on large-scale data and real-time systems
  • Strong programming skills in C/C++ with solid understanding of software engineering design principles and best practices
  • Proven track record of delivering ADAS/AD features through the full production lifecycle: requirements analysis, architecture/design, implementation, unit testing, feature tuning, SIL/HIL validation, and in-vehicle…
  • Hands-on experience with software integration on embedded platforms (e.g., NVIDIA Xavier/Orin, Infineon Aurix)
  • Demonstrated ability to build reliable production-grade systems, including large-scale architectures, evaluation pipelines, and performance-optimized models
  • ML-based planning approaches
  • GPU or parallel computing for planning
Apply on Lucid Motors websiteSave

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