$249,600 – $299,500
Listed on Torc Robotics’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead Torc's Scene Generation team in developing neural rendering and generative models for autonomous truck sensor simulation, owning the technical vision and day-to-day execution of research translation into production systems across camera, LiDAR, and radar data.
Our summary, not Torc Robotics’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 10+ years experience (or 7+ with Master's or 5+ with PhD) in CS, Robotics, or Electrical Engineering
- Deep learning frameworks such as PyTorch
- 8+ years relevant industry experience shipping production software and leading teams
- Expertise in Neural Rendering (NeRF and 3D Gaussian Splatting) and generative models
- Production robotics or autonomous driving data experience
- Computer Vision, Computer Graphics, 3D Reconstruction, or 3D Computer Vision background
- Experience with autonomous driving sensor data across cameras, LiDAR, and radar
- Recognized expert conducting high-impact work with minimal supervision
- VDI and cloud-based ML development environments
- Demonstrated technical leadership and team direction-setting
- Track record mentoring and developing engineers
Nice to have
- Autonomous driving or robotics perception in production environments
- CUDA programming for efficient large-scale scene rendering
- Publications in top-tier CV, AI, or Graphics conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH)
- MLOps and infrastructure tools such as Ray
- 3D labeling, calibration, and sensor simulation pipelines
- Formal people manager or tech lead experience