Robot Infrastructure Engineer (Collection Tooling)

Join Applied Intuition, a leading company in the robotics industry. As a Robot Infrastructure Engineer focused on collection tooling, you will play a crucial role in building the teleoperation workflows, quality checks, and ingestion tools that turn robot sessions into reliable training data. You will work hands-on with hardware and see your work reach customers. This is a tooling role, not a role running a large collection operation.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles

Experience with ROS 2, MCAP, LeRobot, HDF5, or adapters between robotics datasets

Responsibilities

• Construire des outils de téléopération et d'opérateur pour les bras de leader, la réalité virtuelle et d'autres interfaces, y compris la calibration, la cartographie des actions, la latence et l'enregistrement fiable.
• Mettre en œuvre des flux de travail d'épisode pour les instructions de tâche, le démarrage et l'arrêt, les réinitialisations, les annotations, les étiquettes de succès et la prise de contrôle humaine.
• Construire des contrôles de qualité de collecte pour les chutes de trame, l'alignement des horodatages, les signaux manquants, la validité de la calibration et les épisodes incomplets.
• Working knowledge of coordinate frames, sensor calibration, data provenance, and how collection errors show up in trained models
• The ability to turn a task description into an executable collection workflow together with learning, hardware, and operations colleagues
• Experience with sensor fusion, offline trajectory reconstruction, coverage analysis, or active data collection

Requirements

• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• Experience with synchronized video, robot state, actions, or other multimodal time-series data
• Strong Python skills and software engineering fundamentals, including APIs, tests, versioned schemas, and debugging data pipelines
• Experience building tools for other people, watching them fail in real use, and simplifying without hiding data-quality problems

1+ years of professional experience

• Built data collection, teleoperation, sensor recording, or human-in-the-loop tooling used on real robots or autonomous systems, and validated it on hardware
• Experience with VR teleoperation, leader-follower systems, motion retargeting, haptics, or takeover-based learning

Preferred

• Experience building video and trajectory inspection, annotation, dataset validation, or data grading tools

Pay

USD 150,000 - 300,000