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NVIDIA

Robot type
Robot AI and Software
Location
Santa ClaraCaliforniaUSA
Job type
Software
Posted
Sep 8, 2026
Full-time

Senior Software Engineer, AV Planner - Autonomous Vehicles

Job description

We are looking for a Senior Software Engineer, AV Planner. As an AV Planning Engineer, you will work on state-of-the-art autonomous vehicle technologies with leaders in AI / deep learning, computer vision, mapping, prediction, and vehicle control. You will be responsible for developing, maintaining, and integrating behavior and motion planning algorithms and software for sophisticated urban driving. You should have strong analytical skills, good communication, and interpersonal capabilities to work in a team and make a joint effort towards a common goal. Prior knowledge of L4 autonomy, safety-critical systems, real-time software, and large-scale evaluation is highly valued.

Job responsibilities

  • Develop and ship behavior and trajectory planning for an L4 robotaxi (lane changes, merges, intersections, unprotected turns, yielding, stop-and-go, curbside operations).
  • Design planning technologies needed to build the AV software stack; write new software modules from scratch that drive vehicles safely and comfortably in dense urban environments.
  • Build optimization-, sampling-, and/or search-based planning approaches with vehicle dynamics and constraints (collision avoidance, comfort/jerk limits, road-rule compliance).
  • Define and implement fallback and degraded-mode behaviors (e.g., safe stop / minimal risk maneuvers) and contribute to safety-oriented design (failure modes, redundancy, validation evidence).
  • Integrate planning with prediction, perception, mapping/localization, and controls; define clean interfaces and troubleshoot end-to-end system issues using logs and scenario replay.
  • Build and improve offline and closed-loop simulation benchmarks and metrics for planning quality (safety, legality, comfort, progress), and drive regression prevention.
  • Define and build tools to accelerate debugging, scenario triage/mining, evaluation automation, and parameter/config management across vehicle platforms.
  • Drive integration efforts across different platforms/vehicle types; support on-vehicle issue reproduction and resolution.
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