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Torc Robotics

Software Engineer II - Fleet Enablement & Insights (Annotation Platform)

Ann Arbor, MI, Fort Worth, TX, Blacksburg, VAFrom $166.8kmidAdded today

About this role

Torc is seeking a Software Engineer II to build and maintain an annotation platform that converts multi-sensor autonomous vehicle data into labeled datasets for training and validation. You'll develop interactive 2D/3D editors, high-performance visualization systems, backend services, and data pipelines that support both human annotation workflows and machine learning at scale.

What you'll do

  • Design and develop TypeScript/React web application for 2D/3D annotation with cuboid, polygon editing, and track propagation
  • Build high-performance point cloud and image rendering using three.js/WebGL with optimized streaming and prefetching
  • Design backend services for label storage, versioning, task assignment, QA workflows, and multi-user isolation
  • Integrate pre-labeling and pseudo-labeling outputs; track and instrument metrics for auto-labeling feedback loops
  • Fuse HD map data into annotation workflows and build data converters for multi-sensor scene ingestion
  • Collaborate with Data Annotation, Autonomy/ML, and Data Engineering teams to align tooling with real annotator workflows

What they're looking for

  • TypeScript and React
  • Browser-based 3D graphics (three.js or WebGL)
  • Python
  • AWS cloud services and Databricks
  • Backend service design and development
  • Data pipeline and integration engineering
  • SQL and data management
  • Software performance optimization
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Torc Robotics

Torc Robotics develops autonomous driving software and systems for trucks. The company is hiring systems engineers, software engineers, and test automation specialists to build validation frameworks, integration environments, and web applications that ensure the reliability and quality of their autonomous vehicle technology.

Website
torcrobotics.com
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Likely interview questions

  • Describe your experience building production TypeScript/React applications at scale; what performance challenges have you encountered and solved?
  • Tell us about a time you optimized rendering or data loading for a graphics-heavy web application—what was your approach?
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