Senior Engineer, Motion Planning and Controls, Autonomous Driving

Lucid Motors
United States
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 2+ yearsEducation: mastersSkills: ["Problem-solving","Documentation","Collaboration","Analytical thinking","Performance optimization"]

Build and enhance motion planning capabilities for low-speed autonomy and auto-parking features, including trajectory optimization, constraint-aware planning, and local planning that produces control-friendly trajectories. Refactor and scale the planning stack for performance, stability, and scenario scalability, then debug and validate issues using simulation, vehicle logs, and multi-scenario benchmarking. Prototype new planning approaches such as ML-driven methods and collaborate across teams while tracking progress in Jira.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Lucid Motors
Lucid Motors
10 months ago

Senior Engineer, Motion Planning and Controls, Autonomous Driving

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and enhance motion planning capabilities for low-speed autonomy and auto-parking features, including trajectory optimization, constraint-aware planning, and local planning that produces control-friendly trajectories. Refactor and scale the planning stack for performance, stability, and scenario scalability, then debug and validate issues using simulation, vehicle logs, and multi-scenario benchmarking. Prototype new planning approaches such as ML-driven methods and collaborate across teams while tracking progress in Jira.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and enhance trajectory optimization algorithms for low-speed scenarios, including iLQR/MPC-based approaches.
  • •Design and implement constraint-aware optimization and improve local planners to generate control-friendly trajectories.
  • •Refactor and scale the planning stack architecture for maintainability and extensibility while optimizing CPU usage and exploring parallel/GPU acceleration.
  • •Investigate and resolve real-world planning issues (e.g., curvature discontinuities, velocity/trajectory mismatches, edge-case steering behavior) and validate using simulation, vehicle logs, and multi-scenario testing.
  • •Prototype and benchmark new planning approaches (including learned models, barrier functions, and ML-driven planning) and contribute to next-gen planning initiatives.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisability InsurancePaid Leave401kEquity

Key Requirements

  • •M.S. or Ph.D. in Robotics, Control, Electrical Engineering, or related fields.
  • •2+ years of software development experience in autonomous driving, ADAS, or robotics with large-scale data and real-time systems.
  • •Strong programming skills in C/C++ with software design principles and best practices.
  • •End-to-end delivery of ADAS/AD features across production lifecycle, including SIL/HIL validation and in-vehicle deployment.
  • •Hands-on integration experience on embedded platforms (e.g., NVIDIA Xavier/Orin, Infineon Aurix).
Experience:2+ yearsAutonomous drivingADASRoboticsReal-time systemsEmbedded platforms
Education:Master's in Robotics, Control, Electrical Engineering, or related field
Skills:Problem-solvingDocumentationCollaborationAnalytical thinkingPerformance optimization
Languages:English
Tech Stack:C/C++ILQRMPCTrajectory optimizationConstraint-aware optimizationCPU optimizationParallel computingGPU accelerationJiraSimulationVehicle logsNVIDIA XavierNVIDIA OrinInfineon AurixEmbedded platformsML-based planning

Company Brief

Lucid Motors
Designs, engineers, and manufactures luxury electric vehicles and related charging and energy solutions, focusing on high-performance, long-range EVs and advanced vehicle technology for premium consumers.
Industry: Electric Vehicles
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Newark, California, United States
Founded: 2007
WebsiteLinkedIn