NVIDIA
Technology
SeniorSoftwareEngineer,ContextFusionandMulti-VehicleAdaptation-AutonomousVehicles
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optimal for Senior candidates.
“Senior Software Engineer, Context Fusion and Multi-Vehicle Adaptation - Autonomous Vehicles at NVIDIA. Skills: Context Fusion, Autonomous driving, Sensor fusion, System debugging. Analyze Context Fusion issues. Triage Context Fusion issues”
What You'll Achieve.
Deliver safe features; Deliver reliable features; Deliver production-ready features
Industry & Context.
System-level debugging; Log-based diagnostics; Debugging; Troubleshooting
Travel domestically, Travel internationally, On-site vehicle testing
What They're Looking For.
Must Have
BS/MS or equivalent experience, 3+ years industry experience, System-level debugging ability, C/C++ programming skills, Solid background in 3D geometry, Solid background in coordinate systems, Solid background in state estimation, Solid background in probabilistic modeling, Solid background in numerical optimization, Solid background in real-time fusion systems, Experience supporting production programs, Ability to communicate technical analysis in English
Nice to Have
Experience with map-perception fusion, Experience with HD/SD maps, Experience with online mapping, Experience with road topology, Experience with lane-level context, Experience with traffic signs/lights, Experience with mapless driving, Experience with map-degraded driving, Experience building automated triage workflows, Experience building replay evaluation workflows, Experience building quality metrics workflows, Experience building regression testing workflows, Experience building cross-carline comparison workflows, Experience with BEV world models, Experience with occupancy grids, Experience with occlusion reasoning, Experience with static obstacle modeling, Experience with free-space estimation, Experience with scenario understanding, Experience with Kalman filters, Experience with particle filters, Experience with factor graphs, Experience with multi-object tracking, Experience with SLAM, Experience with localization, Experience with map matching systems
What You'll Do.
Analyze Context Fusion issues
Triage Context Fusion issues
Resolve Context Fusion issues
Integrate perception outputs
Integrate map signals
Integrate vehicle state
Adapt Context Fusion modules
Tune Context Fusion modules
Conduct on-vehicle validation
Debug on-vehicle systems
Tune on-vehicle performance
Reproduce real-world issues
Develop testing tools
Develop automation pipelines
Develop quality metrics
Evaluate fusion outputs
Propose practical solutions
How You'll Work.
Team & Collaboration
Global engineering teams; OEM partners; Cross-geo stakeholders; Cross-functional stakeholders
Communication Scope
Technical analysis; English communication
Full Job Description
NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI, with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive, reason, and understand the world. This is our life’s work: to amplify human imagination and intelligence. The NDAS CN TSE team is looking for a hands-on software engineer to support Context Fusion delivery across multiple OEM programs and vehicle platforms, based in Beijing or Shanghai. In this role, you will analyze real-world fusion issues, adapt and tune Context Fusion behavior across different carlines, build scalable debugging and validation workflows, and collaborate with global engineering teams and OEM partners to deliver safe, reliable, and production-ready autonomous driving features. You will work at the intersection of perception, map, localization, ego motion, vehicle signals, active safety, and system integration. This role requires strong system-level debugging ability, practical autonomous driving engineering experience, and the willingness to work directly with test vehicles, customer programs, and cross-geo stakeholders. ****What You’ll Be Doing:**** * Analyze, triage, and resolve complex Context Fusion issues across multiple NDAS programs and carlines, using replay tools, log-based diagnostics, and on-vehicle debugging.Develop and improve fusion logic that integrates perception outputs, map signals, and vehicle state into reliable driving-relevant environment representations. * Adapt and tune Context Fusion modules across different vehicle platforms, sensor configurations, map providers, and regional driving environments, ensuring robust performance in real-world scenarios. * Conduct on-vehicle validation, debugging, and performance tuning, including real-world issue reproduction and itera
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