7 days ago
Base Salary
$224k - $357k/yr
Responsibilities
- Develop and ship behavior and trajectory planning software for L4 robotaxi driving scenarios.
- Design and implement planning modules using optimization-, sampling-, and search-based approaches while accounting for vehicle dynamics, collision avoidance, comfort, and road rules.
- Define fallback and degraded-mode behaviors and contribute to safety-oriented design, failure-mode analysis, redundancy, and validation evidence.
- Integrate planning with prediction, perception, mapping/localization, and controls, and troubleshoot end-to-end issues using logs and scenario replay.
- Build simulation benchmarks, evaluation metrics, debugging tools, scenario triage and mining workflows, evaluation automation, and parameter/configuration management.
- Drive integration across vehicle platforms and support on-vehicle issue reproduction and resolution.
Requirements
- Bachelor's, master's, 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 skills in C/C++ with production-quality, performance-aware, and testable code.
- Knowledge and hands-on experience in motion planning, decision-making, optimization, search, sampling-based planning, geometry, vehicle dynamics/kinematics, or real-time systems.
- Experience building simulation and evaluation pipelines, writing unit and integration tests, and preventing regressions through automation.
- Strong debugging skills across multi-module systems and the ability to convert ambiguous on-road or simulation failures into actionable fixes.
- Clear communication and effective cross-functional collaboration.
- Python experience for tooling and evaluation is preferred.
- Experience shipping urban/L4 robotaxi planning, interaction- or uncertainty-aware planning, automotive safety concepts such as FMEA, and credible validation strategies is preferred.
- A track record of leading architecture or roadmaps, mentoring, or rapidly delivering high-quality features is preferred; a PhD with relevant experience or significant industry experience in autonomy/robotics is also valued.
Benefits
- Eligible for equity and benefits.
- Base salary range is USD 224,000–356,500, determined by location, experience, and comparable employee pay.
- Applications will be accepted at least until August 31, 2026.
- This posting is for an existing vacancy.
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.