10 hours ago
Shanghai, China or Beijing, ChinaSenior
Responsibilities
- Design, develop, and optimize lateral planning algorithms for lane keeping, lane changes, merging, obstacle avoidance, road-edge handling, and other complex driving scenarios.
- Develop and improve SILC decision, driving rail generation and selection, path decision and nudge behavior, and path planning and optimization.
- Improve path safety, feasibility, smoothness, and robustness across road geometries, traffic conditions, and vehicle platforms.
- Adapt algorithms and tune parameters for different vehicle dynamics, steering systems, sensor configurations, and OEM requirements.
- Analyze, triage, and resolve complex Planning & Control issues across autonomous driving programs from L2 through L4.
- Perform root-cause analysis using simulation, replay tools, vehicle logs, and on-vehicle diagnostics, and provide resolution proposals.
- Conduct on-vehicle testing and performance tuning to validate driving behavior in real-world scenarios.
- Collaborate with global teams and OEM partners on software integration, validation, and release readiness.
Requirements
- Bachelor's or master's degree in Computer Science, Electrical Engineering, Robotics, Vehicle Engineering, or a related field.
- 3+ years of autonomous driving, ADAS, or robotics software development experience.
- Strong C++ and Python skills.
- Knowledge of path planning, behavior planning, vehicle kinematics, collision checking, or numerical optimization.
- Experience with production software development, simulation, log analysis, on-vehicle debugging, and parameter tuning.
- Strong analytical, problem-solving, and English communication skills.
- Preferred qualifications include production lateral planning experience; expertise in path optimization, search-based planning, obstacle nudging, or driving rail selection; experience with complex driving scenarios; knowledge of functional safety or autonomous driving validation standards; and familiarity with NVIDIA DriveOS, NVIDIA DRIVE AV, or direct OEM collaboration.
Benefits
- The role involves domestic and international travel for vehicle testing and customer collaboration as needed.
- The position supports multiple production programs and vehicle platforms and includes collaboration with global teams and OEM partners.
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.