Senior Machine Learning Engineer, End-to-End Planning

Lucid Motors
Newark
Workplace: OnsiteFull timeUSD 158,400 - 217,800 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 2+ yearsEducation: mastersSkills: ["Documentation","Knowledge sharing","Debugging","Problem-solving","Technical collaboration"]

Build and enhance low-speed motion planning for autonomous driving, focusing on trajectory optimization, path smoothing, and local planning for auto-parking features like Auto Park, Summon, and Park-to-Park. Refactor and scale the planning stack architecture for maintainability, performance, and CPU/GPU acceleration. Debug and validate behaviors using simulation, vehicle logs, and multi-scenario benchmarking, while integrating production-grade systems on embedded platforms.

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FursaFursa
Lucid Motors
Lucid Motors
1 month ago

Senior Machine Learning Engineer, End-to-End Planning

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and enhance low-speed motion planning for autonomous driving, focusing on trajectory optimization, path smoothing, and local planning for auto-parking features like Auto Park, Summon, and Park-to-Park. Refactor and scale the planning stack architecture for maintainability, performance, and CPU/GPU acceleration. Debug and validate behaviors using simulation, vehicle logs, and multi-scenario benchmarking, while integrating production-grade systems on embedded platforms.
Location: Newark
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and enhance trajectory optimization algorithms (e.g., iLQR/MPC) for low-speed scenarios and constraint-aware optimization.
  • •Improve local planners to generate control-friendly trajectories for parking and low-speed autonomy use cases.
  • •Refactor and scale the planning stack architecture for maintainability and extensibility, optimizing CPU usage and exploring parallel/GPU acceleration.
  • •Investigate and resolve real-world issues and validate solutions using simulation, vehicle logs, and multi-scenario testing/benchmarking.
  • •Prototype and evaluate new planning approaches (e.g., learned models, barrier functions, ML-driven planning) and collaborate with cross-functional teams to share insights and maintain documentation.

Pay and Benefits

Salary: USD 158,400 - 217,800 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisability InsurancePaid LeavePaid Holidays401kEquityAnnual Bonus

Key Requirements

  • •M.S. or Ph.D. in Robotics, Control, Electrical Engineering, or a related field.
  • •2+ years of software development experience in autonomous driving, ADAS, or robotics focused on large-scale data and real-time systems.
  • •Strong programming skills in C/C++ and solid software engineering design principles and best practices.
  • •Demonstrated ability to deliver ADAS/AD features across the full production lifecycle, including SIL/HIL validation and in-vehicle deployment.
  • •Hands-on experience integrating on embedded platforms (e.g., NVIDIA Xavier/Orin, Infineon Aurix).
Experience:2+ yearsAutonomous drivingADASRobotics
Education:Master's in Robotics, Control, Electrical Engineering, or related field
Skills:DocumentationKnowledge sharingDebuggingProblem-solvingTechnical collaboration
Languages:English
Tech Stack:CC++ILQRMPCGPUParallel computingJiraNVIDIA XavierNVIDIA OrinInfineon AurixMLSimulationVehicle logsSILHILEmbedded platforms

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