Senior Synthetic Data Engineer - Autonomous Driving
Core
Design and develop simulation environments and tools to generate high-fidelity synthetic data (lidar, radar, camera) for training deep learning autonomous driving networks.
Role type
Senior Synthetic Data Engineer (Autonomous Driving)
Builds
Simulation-ready driving environments, world models, and synthetic sensor datasets for NVIDIA DRIVE.
Domain
Autonomous Driving / Computer Vision / Simulation
Deliverable
production ML models
Required skills
Python, C++, Linux, Computer Graphics, Computer Vision, Synthetic Data Generation, Deep Learning, Linear Algebra, Geometry, Probability, Scalable Engineering Workflows
Preferred skills
NVIDIA NuRec, Cosmos, Neural Rendering, 3D Gaussian Splatting, NeRFs, Occupancy Networks, Lidar/Radar Simulation, Sim-to-Real Transfer
Technologies
NuRec, Cosmos, Docker, Kubernetes, CI/CD, Git, Linux
Responsibilities
Build and optimize tools for synthetic data generation; Develop lidar and radar sensor simulation workflows; Develop Cosmos world model for scene generation; Collect and match network requirements to synthetic data features; Develop dataset quality assessments; Supervise large-scale simulation pipelines; Debug cross-stack systems.
Seniority
Senior, hands-on IC
