Welcome to Torc Robotics

From the code to the road, autonomous vehicle leader Torc Robotics relies on a commitment to technical and personal excellence when developing the software tools that will lead to a safer tomorrow. Guided by its three core values of “hungry, humble and people smart,” the early adopters of driverless technology recognize that technical prowess is only part of the equation. “What excites me most about working at Torc is the value add we have on saving lives,” said Engineering Manager Akila Panneerselvam, whose work focuses on vision algorithm development and machine learning. “We aren’t just working on fascinating technology and tools. Even though we’re in artificial intelligence, our work has a real impact on human life.”

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Torc Robotics

Senior, Engineering Manager - Perception & Auto-Tagging

6 Hours AgoSaved

Remote or Hybrid

Ann Arbor, MI, USA

Artificial Intelligence • Automotive • Robotics • Software • Transportation

Lead and grow the Offline Perception team building auto-labeling pipelines and offline perception training/evaluation. Own roadmap, architecture guidance, data pipeline and infrastructure strategy, stakeholder alignment, quality/process improvements, and hiring/mentoring to deliver production-grade multi-modal perception training data to downstream teams.

Torc Robotics

Software Engineer I - Metrics for Release

16 Hours AgoSaved

Hybrid

3 Locations

Artificial Intelligence • Automotive • Robotics • Software • Transportation

Build and maintain AWS-based data pipelines and Python services that process vehicle telemetry and validation data. Compute safety and performance metrics, support release validation and automated testing pipelines, investigate pipeline failures and data anomalies, collaborate with cross-functional teams, and contribute to statistical analysis and reporting to ensure autonomous truck safety and reliability.

Torc Robotics

Software Engineer, II - Autonomy Data

16 Hours AgoSaved

Remote or Hybrid

Blacksburg, VA, USA

Artificial Intelligence • Automotive • Robotics • Software • Transportation

Design, build, and operate data infrastructure and pipelines that ingest large-scale vehicle sensor logs into cloud storage, curate datasets and labeling workflows for ML training, deploy visualization tooling for log review and QA, implement validation/monitoring and data lifecycle policies, and collaborate with autonomy teams to define data contracts and support model training and evaluation.

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