Robotics Hardware & Data Engineer
Core
Design hardware/software interfaces for robot teleoperation and large-scale data collection to train embodied AI models.
Role type
Robotics Hardware & Data Engineer
Builds
Teleoperation systems, synchronized sensor/actuation/video data streams, and ML training pipelines
Domain
Robotics, Embodied AI, Mechatronics
Deliverable
production ML models
Required skills
Mechatronics, robotic control, signal processing, embedded systems, real-time control, data pipeline engineering, hardware prototyping
Preferred skills
Teleoperation systems, robot learning research (CoRL), imitation/RL approaches, ML data schema design
Technologies
Motor drivers, sensor integration, video streaming, embedded software
Responsibilities
Design hardware interfaces for real-time robot control; Develop data-collection systems for high-fidelity sensor streams; Work across stack on motor control and low-latency communication; Build tooling to validate and clean data for ML training; Prototype and debug physical hardware rigs and controllers
Seniority
Mid-Senior, hands-on IC
