Torc Robotics

Senior Machine Learning Engineer responsible for developing and deploying camera-based perception models that help autonomous trucks understand their surroundings. The role owns model development from data curation and training through evaluation and production deployment.

Senior Machine Learning Engineer developing and deploying deep learning camera-perception models for autonomous trucks. The role owns end-to-end model development, from data curation and training through production deployment, while improving the reliability of real-world autonomy systems.

Own system-level simulation testing and virtual verification for autonomous driving software, with a focus on perception and vehicle behavior. You will develop scenarios, analyze results, and improve simulation toolchains that support safer self-driving technology.

Lead the architecture and development of scalable, high-fidelity vehicle simulation and modeling systems for autonomous truck validation, safety certification, and reinforcement-learning workflows. This staff-level role combines vehicle dynamics expertise, simulation software engineering, and cross-functional technical leadership.

Senior Software Engineer leading backend services, data pipelines, and web-based tooling for autonomous-truck map validation, simulation, and annotation platforms. The role combines distributed systems, geospatial data, large-scale sensor visualization, and technical leadership.

Lead the architecture and evolution of foundational C++ frameworks powering Torc’s autonomous driving stack. You’ll shape platform-wide technical direction, mentor engineers, and improve the reliability, performance, and testability of autonomous vehicle software.

Lead the development of large-scale BEV and multi-modal perception models that fuse camera, LiDAR, radar, and map data for autonomous trucks. This staff-level role focuses on model innovation, technical leadership, and advancing 3D perception capabilities.

Senior Machine Learning Engineer responsible for developing and deploying production localization, ego-motion, and sensor-fusion systems for autonomous trucks. The role combines ML modeling, robotics state estimation, and production C++/Python software engineering in a hybrid or remote U.S. setting.