Robot Infrastructure Engineer: Teleoperation & Data Tools

Applied Intuition

Sunnyvale, Northern (CA, KY)

Hybrid

USD 150,000 - 210,000

Full time

7 days ago
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Job summary

Applied Intuition is seeking a Robot Infrastructure Engineer focused on collection tooling. You will build teleoperation workflows, quality checks, and data ingestion to turn robot sessions into trusted training data.

This is a tooling role centered on real hardware rather than large-scale collection operations. We value hands-on experience with real robots and autonomous systems, strong Python software skills, and a track record of delivering usable tools that simplify data quality without

Qualifications

  • Strong Python skills and software engineering fundamentals.
  • Experience with synchronized and multimodal time-series data.
  • Ability to build data collection, teleoperation, sensor recording tooling used on real robots.
  • Experience validating tooling on hardware.

Responsibilities

  • Build teleoperation and operator tools for robotic interfaces and ensure reliable recording.
  • Implement episode workflows, annotations, and human-in-the-loop processes with clear policy/human boundaries.
  • Create collection quality checks for data integrity (frame drops, timestamps, calibration).
  • Develop adapters to validate data delivered by partners against task requirements and schemas.
  • Maintain raw recordings as source of truth and enable reproducible export formats for training.
  • Show progress and coverage of collection efforts to guide variation capture.
  • Document setup and troubleshooting for teams to run collection without direct supervision.

Skills

Python
APIs
Testing
Debugging pipelines
Data collection tooling

Tools

ROS 2
MCAP
HDF5
LeRobot

Job description

Applied Intuition is seeking a Robot Infrastructure Engineer focused on collection tooling. You will build teleoperation workflows, quality checks, and data ingestion to turn robot sessions into trusted training data.

This is a tooling role centered on real hardware rather than large-scale collection operations. We value hands-on experience with real robots and autonomous systems, strong Python software skills, and a track record of delivering usable tools that simplify data quality without

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