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

Hiring organization: [Torc Robotics](https://career.thegoodapps.co/organizations/torc-robotics)

Canonical page: https://career.thegoodapps.co/jobs/902640ef-ab8b-4875-a73a-592790a796b2

Listed on Torc Robotics's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Mid
- Location: Ann Arbor, MI
- Salary: 139000 – 166800 USD per year

## Summary

This role builds Torc's web-based annotation platform for autonomous vehicle data, handling the interactive 2D/3D editors and backend services that transform multi-sensor recordings into labeled datasets for training. You'll work across high-performance graphics, data pipelines, and ML workflows at the intersection of software engineering and computer vision.

_Our summary, not Torc Robotics's wording._

## Skills named

Amazon Web Services (AWS), Git, GitHub, PostgreSQL, Python, React, SQL, Three.JS, TypeScript, WebGL

## Required

- Strong TypeScript and React proficiency with shipped production web applications
- Browser-based 3D graphics experience (three.js, WebGL) or strong graphics fundamentals with demonstrated ability to learn quickly
- Production-grade Python backend services and API development
- Experience with large sensor datasets (point clouds, imagery, video) and performance optimization
- PostgreSQL proficiency for label and metadata storage
- AWS services for hosting and deployment
- Git and GitHub version control workflows
- Software engineering fundamentals (data structures, algorithms, system design)
- Bachelor's degree in Computer Science, Robotics, Electrical Engineering or related field plus 4+ years of relevant experience, or Master's degree in a related field plus 0-3+ years of experience

## Nice to have

- Point cloud rendering and streaming formats (octree/LOD, Potree, COPC, 3D Tiles, LAS/LAZ)
- Experience building or extending annotation or labeling tools
- Robotics data and visualization ecosystems (Rerun, Foxglove, MCAP, ROS bags)
- Machine learning workflows for perception (object detection, tracking, segmentation, auto-labeling)
- Multi-view geometry and sensor calibration knowledge
- HD maps and map formats (OpenDRIVE, NDS, Lanelet2)
- PostGIS or spatial geometry operations
- Databricks or large-scale data processing platforms
- Open-source contributions in graphics, geospatial, annotation, or data engineering

Apply on Torc Robotics's site: https://job-boards.greenhouse.io/torcrobotics/jobs/8611479002