NVIDIA
Technology
SeniorSystemSoftwareEngineer-AutonomousVehicles
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior System Software Engineer - Autonomous Vehicles at NVIDIA. Skills: ADAS development, Autonomous driving systems, Software triage, Root cause analysis. Adapt NVIDIA Drive software on vehicles. Triage complex issues”
What You'll Achieve.
Restore stability to complex systems; Drive safe intelligent cars toward production
Industry & Context.
Triage issues; Identify root causes; Implement robust fixes; Isolate issues
Onsite attendance required, Flexibility of work hours, Willingness to travel, Readiness for road testing
What They're Looking For.
Must Have
5+ years of experience, in-vehicle activities, Proficiency in Linux, Proficiency in QNX-based embedded environments, MS in Computer Science, MS in Electrical Engineering, MS in Automotive Engineering, equivalent practical experience, Valid driver’s license
Nice to Have
Advanced programming in C++, Advanced programming in Python, Experience in sensor-based automotive software, Hands-on expertise in ADAS feature validation, Hands-on expertise in use-case triaging, Familiarity with SoC-based automotive architectures, Familiarity with CUDA, Familiarity with TensorRT, Familiarity with GPU computing, Proven record of identifying performance bottlenecks, Proven record of proposing design improvements
What You'll Do.
Adapt NVIDIA Drive software on vehicles
Triage complex issues
Analyze complex issues
Diagnose complex issues
Root cause software problems
Root cause functional problems
Propose immediate solutions
Propose long-term corrective actions
Support NDAS function bring-up
Assess functional performance
Verify NDAS functions
Drive end-to-end traceability
Ensure rigor in quality reporting
Ensure rigor in validation coverage
Coordinate feature enhancements
How You'll Work.
Team & Collaboration
International multidisciplinary teams; OEM and NVIDIA teams; Cross-functional technical coordination
Communication Scope
Explain technical findings
Process & Methodology
Project delivery success
Full Job Description
NVIDIA is driving the autonomous vehicle revolution, delivering AI-powered visual computing platforms that define tomorrow’s mobility. As vehicles become supercomputers on wheels, our challenge is to build the software foundation that makes advanced driver assistance and safety features truly intelligent. We are seeking a Senior Software Engineer in Shanghai, China, who thrives on solving complex, real-world ADAS problems — someone who can triage issues, identify root causes, and implement robust fixes in a fast-moving development environment. **Onsite attendance in one of the development and testing locations in the domestic/abroad area with customer/partner is required.** Flexibility of work hours and willingness to travel around to support development activities in many locations. **What you’ll be doing:** * Be responsible for adaptation of NVIDIA Drive software on development and production vehicles. * Triaging, analyzing, and diagnosing complex issues across safety-critical ADAS and autonomous driving systems — from sensor inputs to function-level behaviors. * Collaborate with OEM and NVIDIA teams to root cause software and functional problems, propose immediate solutions as well as long-term corrective actions. * Support NDAS function bring-up activities on the partner vehicle platforms. * Understanding the SW builds, assessing the functional performance from data and understanding the functional issues. * Debug and verify NDAS functions including driving, parking and active safety * Drive end-to-end traceability — from requirements to test results — and ensure rigor in quality reporting and validation coverage. * Work across international, multidisciplinary teams (Europe, US, APAC, India) to coordinate fixes and feature enhancements efficiently. **What we need to see:** * Strong background in ADAS development and triage, with at least 5+ years of experience including in-vehicle activities. * Demonstrates strong team spirit, with a clear prioritization of proj
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