Senior Software Engineer, AV Planner - Autonomous Vehicles

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Analytical skills","Communication","Interpersonal collaboration","Debugging","Team collaboration","Safety-minded design"]

Develop and integrate behavior and motion planning algorithms for an L4 robotaxi, including safe lane changes, merges, intersections, and yielding in dense urban driving. Build planning software modules and optimization/search/sampling approaches that respect vehicle dynamics, constraints, and road rules. Integrate planning with prediction, perception, mapping/localization, and controls, and improve offline and closed-loop simulation benchmarks to prevent regressions.

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FursaFursa
NVIDIA
NVIDIA
13 hours ago

Senior Software Engineer, AV Planner - Autonomous Vehicles

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Develop and integrate behavior and motion planning algorithms for an L4 robotaxi, including safe lane changes, merges, intersections, and yielding in dense urban driving. Build planning software modules and optimization/search/sampling approaches that respect vehicle dynamics, constraints, and road rules. Integrate planning with prediction, perception, mapping/localization, and controls, and improve offline and closed-loop simulation benchmarks to prevent regressions.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and ship behavior and trajectory planning for an L4 robotaxi across urban driving scenarios.
  • •Design planning technologies for the AV software stack and write new planning software modules from scratch.
  • •Build planning approaches using optimization/sampling/search with vehicle dynamics constraints (collision avoidance, comfort limits, road-rule compliance).
  • •Implement fallback/degraded-mode behaviors and contribute to safety-oriented design and validation evidence.
  • •Integrate planning with prediction/perception/mapping/localization/controls and troubleshoot end-to-end issues using logs and scenario replay.

Key Requirements

  • •BS, MS, or higher degree in Computer Science, Electrical Engineering, Robotics, or Mechanical Engineering (or equivalent experience).
  • •5+ years of relevant experience.
  • •Strong software engineering in C/C++ with production-quality, performance-aware, testable code; Python is a plus for tooling/evaluation.
  • •Hands-on knowledge of motion planning/decision-making and related areas such as optimization, search, sampling-based planning, vehicle dynamics/kinematics, and real-time systems.
  • •Experience building simulation/evaluation pipelines, writing unit/integration tests, and preventing regressions via automation.
Experience:5+ yearsAutonomous vehiclesRoboticsArtificial intelligenceComputer visionSimulation
Education:Master's
Skills:Analytical skillsCommunicationInterpersonal collaborationDebuggingTeam collaborationSafety-minded design
Tech Stack:C/C++PythonDeep learningComputer visionMappingPredictionVehicle controlMotion planningTrajectory planningOptimizationSampling-based planningSearchGeometryVehicle dynamicsVehicle kinematicsReal-time systemsSimulationBenchmarksUnit testsIntegration tests

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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