Senior Software Engineer, AV Planner - Autonomous Vehicles

NVIDIA
Santa Clara
Full timeUSD 224,000 - 356,500 annuallyFunction: Software EngineeringExperience: 12+ yearsSkills: ["Analytical skills","Communication","Interpersonal capabilities","Debugging","Collaboration","Mentoring"]

Develop and ship behavior and trajectory planning software for an L4 robotaxi, enabling safe and comfortable urban driving. Build planning modules from scratch and optimize planning approaches using vehicle dynamics, constraints, and road-rule compliance. Integrate planning with prediction, perception, mapping/localization, and controls, using logs and scenario replay to troubleshoot end-to-end issues. Create simulation benchmarks and tools to accelerate debugging and evaluation while preventing regressions.

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FursaFursa
NVIDIA
NVIDIA
4 days ago

Senior Software Engineer, AV Planner - Autonomous Vehicles

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 minutes agoStatus: Live

Job Summary

Develop and ship behavior and trajectory planning software for an L4 robotaxi, enabling safe and comfortable urban driving. Build planning modules from scratch and optimize planning approaches using vehicle dynamics, constraints, and road-rule compliance. Integrate planning with prediction, perception, mapping/localization, and controls, using logs and scenario replay to troubleshoot end-to-end issues. Create simulation benchmarks and tools to accelerate debugging and evaluation while preventing regressions.
Location: Santa Clara
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and ship behavior and trajectory planning for an L4 robotaxi, including lane changes, merges, intersections, yielding, and stop-and-go behaviors.
  • •Design planning technologies for the AV software stack and build new software modules to drive safely and comfortably in dense urban environments.
  • •Create planning approaches using optimization/sampling/search methods with vehicle dynamics and constraints such as collision avoidance, comfort/jerk limits, and road-rule compliance.
  • •Implement fallback and degraded-mode behaviors and contribute to safety-oriented design through failure modes, redundancy, and validation evidence.
  • •Integrate planning with prediction, perception, mapping/localization, and controls; define interfaces and troubleshoot end-to-end system issues using logs and scenario replay.

Pay and Benefits

Salary: USD 224,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS, MS, or higher degree in Computer Science, Electrical Engineering, Robotics, Mechanical Engineering, or equivalent experience.
  • •12+ years of experience in the relevant field.
  • •Strong software engineering in C/C++ (production-quality, performance-aware, testable code) with Python experience for tooling/evaluation.
  • •Hands-on knowledge of motion planning and decision-making, including optimization/search/sampling-based planning, geometry, and vehicle dynamics/kinematics, plus real-time systems knowledge.
  • •Experience building and using simulation/evaluation pipelines, writing unit/integration tests, and preventing regressions via automation.
Experience:12+ yearsAutonomyRoboticsL4 autonomySimulationComputer vision
Education:
Skills:Analytical skillsCommunicationInterpersonal capabilitiesDebuggingCollaborationMentoring
Tech Stack:CC++PythonDeep learningComputer visionMapping/localizationReal-time systems

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
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