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 autonomous driving deep learning networks.
Role type
Senior IC synthetic data engineer (autonomous driving)
Builds
Simulation-ready driving environments, sensor simulation workflows, and world models for NVIDIA DRIVE
Domain
Autonomous driving, computer graphics, sensor simulation
Deliverable
production ML models
Required skills
Python, C++, Linux system programming, computer graphics, computer vision, sensor simulation, neural rendering, synthetic data generation, deep learning workflows, scalable engineering (Git, Docker, Kubernetes, CI/CD)
Preferred skills
NVIDIA NuRec, Cosmos, world foundation models, 3D Gaussian Splatting, NeRFs, occupancy networks, deep lidar/radar simulation (ray tracing, noise modeling), sim-to-real transfer
Responsibilities
Build tools to generate synthetic data for training DRIVE networks; Develop lidar and radar sensor simulation workflows; Develop Cosmos world model for controllable scenario generation; Collect perception network requirements and match to synthetic data features; Develop dataset quality assessments and synthetic-real comparison procedures; Set up and supervise large-scale simulation pipelines in data centers or cloud; Debug cross-stack systems spanning sensors, reconstruction models, and GPU workloads
Seniority
Senior, hands-on IC
