# Senior Software Engineer, AV Planner

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Senior-Software-Engineer--AV-Planner---Autonomous-Vehicles_JR2026182?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_90cd1286-9d8

## Description

NVIDIA is seeking a Senior Software Engineer, AV Planner to work on state-of-the-art autonomous vehicle technologies. As an AV Planning Engineer, you will develop, maintain, and integrate behavior and motion planning algorithms and software for sophisticated urban driving.

**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.

**Requirements:**

- BS, MS, or higher degree in Computer Science, Electrical Engineering, Robotics, Mechanical Engineering, or equivalent experience.

- 5+ years of experience in the relevant field.

- Strong software engineering skills in C/C++ (production-quality, performance-aware, testable code); Python experience for tooling/evaluation is a plus.

- Knowledge and hands-on background in several of the following: motion planning, decision-making, optimization, search, sampling-based planning, geometry, vehicle dynamics/kinematics, real-time systems.

- Experience building and using simulation and evaluation pipelines, writing unit/integration tests, and preventing regressions via automation.

- Strong debugging skills across multi-module systems; ability to turn ambiguous on-road/sim failures into actionable fixes.

- Ability to communicate clearly and collaborate effectively across functions (prediction/perception/controls/safety).

**Preferred Qualifications:**

- Hands-on experience shipping urban/L4 robotaxi planning (behavior + trajectory) with measurable improvements in safety and ride quality.

- Experience with interaction-aware or uncertainty-aware planning (risk-sensitive decision making, robust constraints, prediction coupling).

- Experience with automotive safety concepts and analysis methods (e.g., FMEA) and building credible validation strategies.

- Track record of leading architecture/roadmap and mentoring, or rapidly delivering high-quality features with strong engineering fundamentals.

- PhD with relevant experience or significant industry experience in autonomy/robotics.

## Skills

### Required
- C/C++
- Python
- motion planning
- decision-making
- optimization
- search
- sampling-based planning
- geometry
- vehicle dynamics/kinematics
- real-time systems

### Nice to have
- urban/L4 robotaxi planning
- interaction-aware planning
- uncertainty-aware planning
- automotive safety concepts
- FMEA
- validation strategies

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Senior-Software-Engineer--AV-Planner---Autonomous-Vehicles_JR2026182?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)