Robot Infrastructure Engineer - Collection Tooling

Overview

Compensation: $150K – $300K • Offers Equity

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co.

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions

ABOUT THE ROLE

• Build teleoperation and operator tools for leader arms, VR, and other interfaces, including calibration, action mapping, latency, and reliable recording.
• Implement episode workflows for task instructions, start and stop, resets, annotations, success labels, and human takeover, keeping a clean boundary between policy actions and human corrections.
• Build collection quality checks for frame drops, timestamp alignment, missing signals, calibration validity, and incomplete episodes, with feedback operators can act on immediately.
• Build collection specifications and adapters that validate data delivered by external partners against task requirements, schemas, calibration, and provenance.
• Keep raw recordings as the source of truth and make normalization and export to training formats reproducible.
• Show collection progress and coverage against the task so the team collects the missing variations and hard cases, not more of the same.
• Test everything on real robots and document setup and troubleshooting so engineers, operators, and partners can run collection without you in the room.
• 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 sync

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.

As a Robot Infrastructure Engineer focused on collection tooling, you will make high-quality robot demonstrations and human corrections easy to capture and use. You will build the teleoperation workflows, quality checks, and ingestion tools that turn a session at the robot into training data the team can trust. This is a tooling role, not a role running a large collection operation.

We are open to candidates at different experience levels who meet the requirements. We value demonstrated work on real systems, including equivalent practical experience, over a particular degree or title.

AT APPLIED INTUITION, YOU WILL:

WE'RE LOOKING FOR SOMEONE WHO HAS: