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Senior Software Engineer, Planning and Control Integration – Autonomous Vehicles

NVIDIA· Engineer, Sys SW
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Beijing, Shanghaifull-timePosted 1mo ago

About the role

Hands-on software engineer responsible for end-to-end Planning & Control integration in NVIDIA's autonomous driving stack, including development and optimization of planning and control algorithms, cross-carline integration, validation workflows, and collaboration with OEM partners to deliver production-ready autonomous driving behavior.

Responsibilities

  • Own end-to-end Planning & Control integration across the NVIDIA AV software stack, including module interfaces, data flow, timing, and cross-team integration and validation with perception, localization, and vehicle actuation systems
  • Design, develop, and optimize planning and control algorithms for core L2, L2+, and L2++ driving scenarios, and drive their integration into the production software stack
  • Perform system integration, carline adaptation, and parameter tuning for planning and control modules across different vehicle platforms - adapting to diverse vehicle dynamics, steering systems, braking characteristics, sensor configurations, and OEM platform requirements
  • Build and maintain cross-carline integration validation workflows and comparison tooling to systematically evaluate integration behavior differences across vehicle platforms and accelerate multi-carline integration at scale
  • Improve the safety, comfort, feasibility, smoothness, and system-level robustness of the integrated planning and control system across different road geometries, traffic conditions, and vehicle platforms
  • Analyze, triage, and resolve cross-module Planning & Control integration and functional issues across multiple autonomous driving programs from L2 through L4
  • Perform integration root-cause analysis, bring-up validation, and performance tuning using simulation, replay tools, vehicle logs, on-vehicle diagnostics, and real-world testing, and provide clear resolution proposals
  • Collaborate with global teams and OEM partners to drive software integration, validation, release readiness, and production delivery; travel domestically and internationally for on-vehicle integration testing and customer collaboration as needed

Qualifications

  • BS/MS in Computer Science, Electrical Engineering, Robotics, Vehicle Engineering, or a related field
  • 5+ years of autonomous driving, ADAS, or robotics software development experience, with strong C++ and Python skills
  • Solid knowledge of motion planning, trajectory planning, vehicle control, vehicle dynamics/kinematics, or numerical optimization
  • Hands-on experience integrating planning and control modules into a production or prototype autonomous driving software stack
  • Experience with multi-carline adaptation, on-vehicle debugging, parameter tuning, simulation, log analysis, and production software development
  • Strong analytical, problem-solving, and English communication skills
  • Proficient English communication skills (written and verbal) — able to produce clear technical reports and participate in meetings with global teams

Skills

Required:C++PythonMotion planningVehicle dynamics/kinematicsOn-vehicle debuggingRoot-cause analysis

Benefits

  • Not specified in the description
Last updated Sep 18, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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