Teams at Torc Robotics

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.

Lead cloud cost management and FinOps activities across multi-cloud environments: cost analysis, budgeting, forecasting, tagging and allocation, rate optimization, anomaly/root-cause analysis, billing data aggregation, dashboards and showback/chargeback models, and cross-functional cost governance using FinOps best practices and Lean-Agile methods.