Torc Robotics

Lead the architecture and evolution of the core C++ frameworks powering Torc’s autonomous trucking stack. You’ll shape platform-wide technical direction, reliability, and scalability while mentoring engineers and collaborating across autonomy teams.

Application Integration Engineer 1 will design, implement, and support secure integrations and data flows across Torc’s enterprise application ecosystem. The role combines API integration, automation tooling, application support, and cross-functional systems work.

Senior ML Engineer focused on building real-time multi-object tracking and sensor-fusion systems for autonomous trucks. The role combines machine learning, robotics perception, and production C++/Python software development.

Develop production-ready, real-time C++ software that connects autonomous vehicle systems with Mission Control and Remote Assistance for safe, effective truck operations. You’ll help advance Torc’s self-driving truck platform through mission management, vehicle guidance, telemetry, and cross-team technical leadership.

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.