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 IC synthetic data engineer (autonomous driving simulation)
Builds
Simulation-ready driving environments, world models, and synthetic sensor datasets for NVIDIA DRIVE
Domain
Autonomous driving, computer graphics, sensor simulation, neural rendering
Deliverable
production ML models
Required skills
Python, C++, Linux system engineering, linear algebra, geometry, probability, synthetic data generation, sensor simulation workflows, deep learning workflows, scalable engineering (Git, Docker, Kubernetes, CI/CD)
Preferred skills
NVIDIA NuRec, Cosmos, world foundation models, neural rendering, 3D Gaussian Splatting, NeRFs, occupancy networks, lidar/radar simulation (ray tracing, noise modeling), sim-to-real transfer
Technologies
Python, C++, Linux, Git, Docker, Kubernetes, CI/CD, NuRec, Cosmos
Responsibilities
Build and optimize tools for generating synthetic sensor data; Develop lidar and radar sensor simulation workflows; Develop Cosmos world model for scene generation and evaluation; Match network requirements to synthetic data features; Develop dataset quality assessments and sim-to-real comparison procedures; Supervise large-scale simulation pipelines in data centers or cloud; Debug cross-stack systems spanning sensors, models, and workloads
Seniority
Senior, hands-on IC
