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# Senior Synthetic Data Engineer - Autonomous Driving

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Profiling, Computer Engineering, Computer Graphics, Continuous Delivery, Continuous Integration, Data Centers, Software Debugging, Linux, Distributed Data Store, Python (Programming Language), Software Engineering, Neural Rendering, Cloud Platform System, Transfer Learning, Deep Learning, Reliability of Systems, Git, Gaussian, Kubernetes, Information Technology, Ray Tracing, Data Augmentation, Lidar, Data Pipelines, Docker, Data Generation
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-synthetic-data-engineer-autonomous-driving-santa-clara-ca--333c74f1-4c73-4265-82c6-f193f4137606

## About the Role

Autonomous Driving Systems, Artificial Intelligence (AI), Continuous Improvement, Continuous Deployment/Delivery, Simulation, Automotive Engineering, Autonomous Driving Systems, Automotive Automation, Systems Reliability, Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR), * B.S. or M.S. in Computer Science, Electrical Engineering, Computer Engineering, Applied Math, Physics, or a related field (or equivalent experience).

 * 8+ years of experience in computer graphics, computer vision, autonomous driving, sensor simulation, neural rendering, or physically-based sensor modeling, synthetic data generation, or closely related software engineering roles.
 * Strong Python and C++ skills, with experience building, debugging, profiling, and maintaining production-quality systems on Linux.
 * Solid mathematical foundation in linear algebra, geometry, probability.
 * Familiarity with synthetic data annotations, data formats, dataset curation, data augmentation, and evaluation workflows for perception model training and validation.
 * Familiarity with deep learning workflows and modern ML tooling, with enough practical understanding to translate network needs into synthetic data requirements and measurable quality criteria.
 * Experience with scalable engineering workflows including Git, Docker, Kubernetes, CI/CD, distributed storage, and deployment in data centers or cloud environments.

Ways to stand out from the crowd:

 * Practical experience working directly with NVIDIA NuRec, Cosmos, world foundation models, Real2Sim systems, or autonomous-driving simulation and validation pipelines.
 * Experience in NuRec world reconstruction, neural rendering, 3D Gaussian Splatting, NeRFs, or occupancy networks.
 * Deep lidar or radar simulation expertise, such as ray tracing or ray casting, reflectance and intensity modeling, Doppler, radar cross-section, weather effects, occlusion, and sensor-specific noise models.
 * Experience developing synthetic data pipelines for autonomous driving, closed-loop simulation, domain randomization, long-tail scenario mining, or sim-to-real transfer.
 * Familiarity with autonomous vehicle data pipelines, OpenDRIVE, HD maps, scenario formats, vehicle dynamics, or AV safety validation.