Robot Infrastructure Engineer - Collection Tooling

Job summary

Responsibilities

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.

• 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…
• Build collection quality checks for frame drops, timestamp alignment, missing signals, calibration validity, and incomplete episodes, with feedback operators can act on…
• 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.

What they're looking for

• 1+ years of professional experience
• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• 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.

Tech stack

• Python