Torc Robotics
A Machine Learning Engineer II – Scene Model develops and deploys machine learning models that enable autonomous trucks to understand their surrounding environment. The role focuses on building multi-modal perception systems in bird’s-eye-view (BEV) that fuse information from LiDAR, cameras, radar, and map inputs to produce a unified representation of the scene.
Headquarters
Blacksburg, Virginia, United States
Company Size
501-1000 employees
Founded
2005
Torc Robotics is an autonomous-vehicle leader (since 2007) commercializing self‑driving trucks for safe, sustained long‑haul freight operations. The company develops and integrates autonomous driving technology to bring reliable, production‑scale solutions to the trucking industry. Torc emphasizes safety and real‑world validation as it works to “drive the future of freight.”
Daimler Truck and Torc Robotics Select Innoviz Technologies as LiDAR Partner for Series Production of Level 4 Autonomous Trucks
Dec 2, 2025
Torc Robotics takes autonomous trucks into Michigan’s snow and ice
1 week ago
Torc extends autonomous truck testing to Michigan
1 week ago
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Torc Robotics.
Right around the average for this role
Torc Robotics and Daimler Truck Expand Autonomous Truck Testing to Michigan Public Roads
1 week ago
Machine Learning Engineer
Plus 2
Machine Learning Engineer
Agtonomy
3D Vision and Scene Understanding - AI Research & Engineering Intern
Bo-Sch Group
Research Scientist- End-to-End Planning in Autonomous Systems
Bo-Sch Group
Senior Machine Learning Engineer Perception Autonomous Driving Us Ca Santa Clara
NVIDIA
Machine Learning Engineer: Perception
bedrock robotics