# Robot Infrastructure Engineer - Collection Tooling at Applied Intuition

- Company: Applied Intuition
- What the company does: Applied Intuition powers physical AI, automating machines across automotive, defense, trucking, mining, construction, & agriculture. Backed by General Catalyst, Kleiner Perkins and a16z.
- Company website: https://www.appliedintuition.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Sunnyvale
- Work setup: On-site
- Pay: $150K to $300K base salary per year (USD)
- Posted: 2026-09-21
- Apply by: 2026-11-05
- Apply: https://jobs.ashbyhq.com/Applied/932de549-2882-4c0d-aeca-b4a8ef5f1f41
- Page: https://www.1752.vc/careers/jobs/applied-intuition-robot-infrastructure-engineer-collection-tooling/

## About the role

Applied Intuition is building a robot learning platform on Dana, its physical AI platform: the data infrastructure and training intelligence a company needs to make any robot learn an industrial task and keep improving it. The robotics team builds that platform and uses it to deliver robot autonomy on customer lines, training, evaluating, and deploying policies on real robots doing real industrial tasks. Everyone on the team works hands-on with hardware and sees their work reach customers.

## What they're looking for

- Built data collection, teleoperation, sensor recording, or human-in-the-loop tooling used on real robots or autonomous systems, and validated it on hardware
- Strong Python skills and software engineering fundamentals, including APIs, tests, versioned schemas, and debugging data pipelines
- Experience with synchronized video, robot state, actions, or other multimodal time-series data
- Working knowledge of coordinate frames, sensor calibration, data provenance, and how collection errors show up in trained models
- Experience building tools for other people, watching them fail in real use, and simplifying without hiding data-quality problems
- The ability to turn a task description into an executable collection workflow together with learning, hardware, and operations colleagues

Tags: Robotics