Staff, ML Engineer - Scene Generation
Torc Robotics1 month ago
Base Salary
$250k - $300k/yr
Responsibilities
- Serve as technical lead, owning design decisions and driving consensus across engineers and stakeholders.
- Set the technical vision and roadmap for neural rendering and generative modeling.
- Lead day-to-day prioritization, unblock engineers, and make final architecture and technical approach decisions.
- Apply research advances to production-quality camera, LiDAR, and radar sensor simulation.
- Own the neural-rendering framework from research and implementation through testing, cloud integration, and deployment.
- Automate cloud-based pipelines for scalable autonomous-truck verification and validation.
- Design, implement, test, and deploy production-quality software while setting the team’s technical bar.
- Own machine-learning ecosystem integrations and scaling decisions for the team’s pipeline.
- Drive improvements, organizational alignment, roadmap communication, and cross-team collaboration.
- Mentor, coach, hire, onboard, and support the career development of engineers.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field with experience typically acquired through 10+ years, or a master’s degree with 7+ years, or a PhD with 5+ years.
- PhD or equivalent work experience of 8+ years in a relevant field, with experience shipping production software and leading technical teams.
- Proficiency in Python and deep learning frameworks such as PyTorch.
- Expertise in Neural Rendering, including Neural Radiance Fields and 3D Gaussian Splatting, and generative models including Diffusion Models and Flow Matching.
- Experience with production data for robotics or autonomous driving and sensor data across cameras, LiDAR, and radar.
- Background in computer vision, computer graphics, 3D reconstruction, or 3D computer vision.
- Experience with VDI and cloud-based machine learning development environments.
- Experience serving as a technical lead, setting direction, driving consensus, and mentoring engineers.
- Preferred experience includes autonomous driving or robotics perception in production, CUDA programming, relevant research publications, MLOps and Ray, 3D labeling, calibration, sensor simulation pipelines, and formal people management or technical leadership.
Benefits
- Competitive compensation package with bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401(k) plan with a 6% employer match
- Flexible schedule and generous paid vacation available immediately after the start date
- AD&D and life insurance
Categories
AI ResearchML Engineering
About Torc Robotics
Torc Robotics develops autonomous driving software for heavy-duty trucks, offering a full self-driving stack, mapping, and perception for freight carriers and OEMs. Founded in 2005 and headquartered in Blacksburg, Virginia, it was acquired by Daimler Truck in 2019. As a subsidiary, Torc focuses on commercializing Level 4 trucking with its parent’s vehicle platforms and industry partnerships in North American freight transport.