1 day ago
Shanghai, ChinaSenior
Responsibilities
- Develop and ship behavior and trajectory planning for an L4 robotaxi in dense urban environments.
- Design and implement planning software using optimization-, sampling-, and search-based approaches with vehicle dynamics and operational constraints.
- Implement fallback and degraded-mode behaviors and contribute to safety-oriented design, failure analysis, redundancy, and validation evidence.
- Integrate planning with prediction, perception, mapping, localization, and controls while troubleshooting end-to-end system issues.
- Build simulation benchmarks, planning-quality metrics, evaluation automation, scenario tools, and regression-prevention workflows.
- 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.
- At least 5 years of relevant experience.
- Strong production-quality, performance-aware, and testable C/C++ software engineering skills.
- Knowledge and hands-on experience with motion planning, decision-making, optimization, search, sampling-based planning, geometry, vehicle dynamics or kinematics, and real-time systems.
- Experience building and using 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 turn ambiguous on-road or simulation failures into actionable fixes.
- Clear communication and effective cross-functional collaboration.
- Python experience for tooling and evaluation is a plus.
- Experience shipping urban or L4 robotaxi planning, interaction-aware or uncertainty-aware planning, automotive safety analysis, validation strategies, architecture or roadmap leadership, mentoring, or a PhD is preferred.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.