NVIDIA
Senior Software Engineer, L4 - Autonomous Vehicles
$184K–$356K
US, CA, Santa Clara · Senior · Full-time · Posted Aug 29, 2026
- Experience
- PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience.
- Education
- PhD, MS, or BS (or equivalent experience) in Computer Science, Computer Engineering, or a related technical field.
About the job
Build architecture and production systems for next-generation autonomous driving, integrating safety stacks, AI-driven models, and end-to-end vehicle software.
What you'll do
- Design Prediction, Decision, Planning, and Control architecture, including system-level safety and fallback strategies.
- Develop end-to-end driving pipelines and World Model–based planning and reasoning; work with large-scale model inference.
- Integrate robotics research into autonomous driving systems and manage software interfaces, dependencies, and performance.
What they ask for
- Relevant experience in Computer Science, Computer Engineering, or a related technical field: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years.
- Production experience in autonomous driving systems.
- Experience with AI foundation models or large-scale ML systems and end-to-end driving models.
- Experience with robotics or embodied AI systems, and system architecture from 0 → 1 → scale.
Nice to have
- PhD in a relevant field or related research experience.
- Knowledge of CUDA.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
CUDA
AI focus
Develop end-to-end data-driven autonomous driving pipelines, work with AI foundation models and large-scale ML systems, and build World Model–based planning and reasoning and large-scale model inference architecture.
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