NVIDIA
Technology
SeniorSoftwareEngineer,DrivingBehaviorandMulti-VehicleAdaptation–AutonomousVehicles
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, Driving Behavior and Multi-Vehicle Adaptation – Autonomous Vehicles at NVIDIA. Skills: Autonomous driving, Planning and control, Driving behavior, Vehicle adaptation. Analyze Planning & Control issues. Analyze Active Safety issues”
Industry & Context.
Root-cause analysis; Debugging; Troubleshooting
Travel domestically, Travel internationally, Work on-site
What They're Looking For.
Must Have
BS/MS in Computer Science, 3+ years experience, C++ and Python skills, Solid understanding of motion planning, On-vehicle debugging experience, Real-time system diagnostics experience, CAN/Ethernet signal analysis, Log-based replay experience, Parameter tuning experience, Proficient English communication skills
Nice to Have
Multi-carline development experience, Experience building developer tools, Experience building test automation frameworks, Experience building diagnostic platforms, Familiarity with NVIDIA DriveOS, Familiarity with DRIVE AV platform, Direct OEM customer collaboration experience, Knowledge of functional safety (ISO 26262), Knowledge of ADAS testing standards, Willingness to travel, Work on-site at test tracks
What You'll Do.
Analyze Planning & Control issues
Analyze Active Safety issues
Resolve Planning & Control issues
Resolve Active Safety issues
Perform root-cause analysis
Adapt planning algorithms
Adapt control algorithms
Tune PnC/AS parameters
Conduct on-vehicle testing
Debug on-vehicle issues
Tune performance on-vehicle
Validate planning behavior
Validate control behavior
Diagnose on-site issues
Communicate technical findings
Propose resolution strategies
Design PnC testing tools
Develop automated triage pipelines
Develop cross-carline comparison workflows
Support integration activities
Support validation activities
Support release readiness activities
How You'll Work.
Team & Collaboration
Global stakeholders; OEM partners; Cross-geo teams; Global teams
Communication Scope
Technical findings; Bug analysis reports; Resolution proposals; English communication
Full Job Description
NVIDIA has continuously reinvented itself over two decades. Our 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 — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. The NVIDIA China Autonomous Driving Team is looking for a hands-on software engineer to shape how vehicles plan, decide, and act on the road. In this role, you will own the driving behavior of our autonomous driving stack across multiple production programs — performing deep root-cause analysis, adapting planning and control algorithms to diverse vehicle platforms, and building automation tools that scale our engineering impact globally. You will ride in test vehicles, tune real-world performance, and collaborate directly with OEM partners to deliver safe, comfortable, and production-ready autonomous driving behavior. **What you’ll be doing:** * Analyze, triage, and resolve complex Planning & Control (PnC) and Active Safety (AS) issues across multiple autonomous driving programs (L2, L2+, L2++, L3, L4) * Perform root-cause analysis on driving behavior bugs using replay tools and log-based diagnostics — covering path planning, lateral/longitudinal control, ALSA, AS, lane change, and emergency steering scenarios * Perform carline-specific adaptation and parameter tuning for PnC/AS modules across different vehicle platforms, ensuring driving behavior meets OEM requirements and regional regulations * Conduct on-vehicle testing, debugging, and performance tuning — ride along in test vehicles to validate planning and control behavior in real-world driving scenarios, diagnose on-site issues, and iterate on fixes * Communicate technical findings, bug analysis reports, and resolution proposals in English to global stakeholders, OEM partners, and cross-geo teams * Desig
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