NVIDIA
Senior Software Engineer - Autonomous Driving Simulation
$152K–$288K
US, CA, Santa Clara · Senior · Full-time · Posted Oct 14, 2026
- Experience
- 5+ years of relevant autonomous vehicles industry experience.
- Education
- BS, MS, or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field (or equivalent experience).
About the job
Build and optimize scalable simulation platforms that train, test, and validate autonomous driving software across diverse scenarios.
What you'll do
- Develop simulation platforms and workflows, including Real2Sim and Sim2Real domain adaptation.
- Optimize large-scale simulation for performance, scalability, reliability, and production deployment.
- Collaborate across research and engineering teams, transfer technology into products, and contribute to open-source initiatives where applicable.
What they ask for
- BS, MS, or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field (or equivalent experience).
- 5+ years of relevant autonomous vehicles industry experience.
- Strong programming skills in Python, C/C++, PyTorch, and Linux/bash scripting.
- Experience with software engineering and infrastructure tools such as Docker, Bazel, Jenkins, CI/CD pipelines, and distributed systems tooling.
Nice to have
- First-author publications at top-tier conferences such as NeurIPS, CVPR, ICCV, ECCV, or ICML.
- Experience in autonomous driving, robotics simulation, neural rendering, synthetic data generation, generative AI, or optimizing high-performance or large-scale distributed workloads.
Pay
152,000 USD - 241,500 USD base salary (Level 3); 184,000 USD - 287,500 USD base salary (Level 4)
Tools
Python, C/C++, PyTorch, Linux/bash scripting, Docker, Bazel, Jenkins, CI/CD pipelines
AI focus
Simulation and domain adaptation for autonomous driving, including AI models, deep learning, generative AI, and synthetic data generation.
Model-written summary · the original posting is authoritative