Research Engineer, Neural Rendering
Core
Building multi-sensor simulation stacks and digital twins for autonomous driving using neural rendering and generative AI.
Role type
Research Engineer (Neural Rendering & Simulation)
Builds
Large-scale, efficient digital twins and next-generation simulation software mixing real-time rendering with NeRF, 3D Gaussian Splatting, and diffusion models.
Domain
Autonomous driving, Physical AI, Computer Vision, Generative AI
Deliverable
production ML models | product features
Required skills
Neural rendering (NeRF, 3DGS), generative AI (diffusion models), cloud GPU ML job design, Python, PyTorch, C++ or Rust, production software development, large-scale dataset handling
Preferred skills
Experience publishing research papers at top conferences (CVPR, NeurIPS, etc.), deep understanding of ML internals and trade-offs
Technologies
PyTorch, TensorFlow, NeRF, 3D Gaussian Splatting, diffusion models, C++, Rust
Responsibilities
Develop production-quality multi-sensor rendering systems, build digital twins from camera/LiDAR/RADAR data, collaborate with autonomy teams to improve simulation realism, contribute to high-impact research papers
Seniority
Mid-Senior, hands-on IC
