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Robot Infrastructure Engineer - Collection Tooling

Applied Intuition· Robotics
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Sunnyvale$150k - $300kFull-timePosted 4w ago

About the role

Robot Infrastructure Engineer focused on collection tooling to capture high-quality robot demonstrations and human corrections, build teleoperation workflows, quality checks, and ingestion tools to turn robot sessions into trusted training data. This is a tooling role within Applied Intuition's robot learning platform, not a large-scale collection operation.

Responsibilities

  • 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.

Qualifications

  • A Bachelor's degree in Mechatronics, Mechanical Engineering, or equivalent
  • 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.
  • 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.

Skills

Required:PythonData pipelinesMultimodal time-series dataCalibration and provenanceTooling for others

Benefits

  • Base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off (subject to jurisdiction)
Last updated Oct 4, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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