NVIDIA
Senior Synthetic Data Engineer - Autonomous Driving
$184K–$356K
US, CA, Santa Clara +4 · Senior · Full-time · Posted Oct 9, 2026
- Location
- US, CA, Santa Clara
US, TX, Remote
US, NY, Remote
US, WA, Remote
US, CA, Remote - Experience
- 8+ years.
- Education
- B.S. or M.S. in Computer Science, Electrical Engineering, Computer Engineering, Applied Math, Physics, or a related field (or equivalent experience).
About the job
Build and optimize synthetic-data and sensor-simulation systems for training and evaluating autonomous-driving networks using reconstructed and generated driving environments.
What you'll do
- Develop synthetic-data tools and lidar/radar simulation workflows for NuRec and Cosmos environments.
- Build and evaluate Cosmos world-generation capabilities and assess synthetic-data quality and sim-to-real transfer.
- Operate and debug large-scale simulation pipelines across data-center or cloud systems and downstream autonomous-driving workloads.
What they ask for
- B.S. or M.S. in a relevant field, or equivalent experience.
- 8+ years in a listed or closely related engineering field.
- Strong Python and C++ skills and experience with production-quality systems on Linux.
- Experience with scalable engineering workflows, including Git, Docker, Kubernetes, CI/CD, distributed storage, and data-center or cloud deployment.
Nice to have
- Practical experience with NVIDIA NuRec, Cosmos, world foundation models, Real2Sim, or autonomous-driving simulation and validation.
- Experience in neural rendering, 3D Gaussian Splatting, NeRFs, occupancy networks, or lidar/radar simulation.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Python, C++, Linux, Git, Docker, Kubernetes, CI/CD, NVIDIA Omniverse NuRec and Cosmos
AI focus
Generate synthetic data and world-model driving scenes, improve scenario generation, and evaluate deep-learning autonomous-driving networks and sim-to-real transfer.
Model-written summary · the original posting is authoritative