Torc Robotics

Join Torc as a Senior Quality Test Engineer to enhance the safety and performance of autonomous vehicle technology through rigorous testing and software development.

Test and improve autonomous-truck software through vehicle testing, data analysis, automation, and full-lifecycle development. This role combines hands-on autonomous vehicle testing with software engineering in a safety-critical robotics environment.

Join Torc’s simulation team as an embedded ML Engineer helping autonomy teams run model replay, recompute, evaluation, and visualization workflows at scale. You’ll bridge simulation-platform engineering and autonomy-model development while debugging data pipelines and driving adoption of Torc Sim.

Build the data infrastructure that turns autonomous vehicle sensor logs into reliable, curated datasets for model training, evaluation, and debugging. This high-ownership role spans ingestion pipelines, data quality, visualization, and ML dataset tooling.

Help build the cloud infrastructure, data pipelines, and Python services that evaluate safety, reliability, and release readiness for Torc’s autonomous semi-truck software. This entry-level role works with vehicle telemetry, validation data, metrics, and automated testing pipelines.

Lead Torc’s Scene Generation team in developing neural-rendering and generative-model software for high-fidelity autonomous-vehicle sensor simulation. This staff-level role combines hands-on ML engineering, technical strategy, cloud-scale production deployment, and team leadership.

Join Torc as a Software Engineer II to design and implement data systems that enhance fleet operations for autonomous trucks.

Join Torc as a Senior Software Engineer on the Metrics for Release team, where you'll develop software to evaluate and ensure the safety of autonomous semi-truck systems.