Teams at Torc Robotics

Design, implement, test, and maintain scalable C++ software for autonomous vehicle and perception systems. Work across full SDLC, support vehicle testing, simulation-based regression, data acquisition/analysis from remote vehicles, root-cause analysis, and mentor engineers while collaborating with ML researchers and cross-functional teams.

Design, build, and maintain Python-based services and AWS data pipelines to compute and validate autonomy performance metrics. Translate system-level safety requirements into production implementations, process telemetry and validation data, implement release validation logic, debug pipeline and telemetry issues, and contribute to workflow orchestration, code reviews, and cross-functional design.

Develop and deploy machine learning solutions for autonomous truck applications: EDA, deep learning model development, embedded deployment, data ingestion/curation, analytics, visualization, technical leadership, and process improvement across manufacturing and business domains.