$184,000 – $287,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role shapes the safety and validation strategy for NVIDIA's autonomous driving systems, requiring deep expertise in safety-critical systems engineering and the ability to translate customer needs into rigorous performance requirements across L3/L4 vehicles. It suits experienced engineers who combine systems thinking with hands-on software skills and can drive consensus across large organizations on complex technical trade-offs.
Our summary, not NVIDIA’s wording. The full posting is on their site.
What they ask for
Required
- MS or PhD in Engineering, Physics, Computer Science, or related field (or equivalent experience)
- 8+ years in safety-critical systems engineering, system analysis, data analysis, and software architecture
- Strong software development background with proven coding skills
- Hands-on experience with SOTIF analysis (ISO 21448) and functional safety (ISO 26262)
- Experience with multi-functional architectural trade-off analysis
- Strong leadership and interpersonal skills
- Understanding of trade-offs between end-to-end deep learning and modular perception/planning stacks
Nice to have
- Experience contributing to a launched L3/L4 autonomous vehicle program
- Experience in AI safety and safety validation for ML-based systems
- Hands-on experience with large-scale datasets, data science, and analytics workflows
- Proficiency in Python, SQL, and C++