Robotics Engineer

📋 Description

• • Bring up and operate off-the-shelf robot platforms including humanoids, manipulators, and mobile bases for model evaluation and data collection.
• • Integrate cameras, depth sensors, IMUs, and other sensors required for world-model rollouts and policy evaluation on physical robot platforms.
• • Own the end-to-end data pipeline from robot to training, including logging, sensor synchronization, calibration, and data replay.
• • Build and maintain test rigs and benchmarks that quantify model performance improvements over time in real-world robotic environments.
• • Debug and resolve failures across hardware, drivers, and integration code to ensure continuous operation of the robot fleet.
• • Serve as the critical bridge between AI research and physical deployment by translating model requirements into actionable robot behaviors and sensor configurations.
• • Maintain and optimize the operational stability of commercial robotic systems under experimental conditions.
• • Collaborate with research and engineering teams to align robotic capabilities with the needs of multimodal foundation models.
• • Configure and calibrate sensor suites to ensure high-fidelity data capture for training and validating world models.
• • Document robot configurations, sensor setups, and debugging procedures to enable reproducibility and team scalability.
• • Adapt robot platforms to new experimental protocols and rapidly iterate on hardware-software integration challenges.
• • Ensure compliance with safety protocols during robot operation in lab and field environments.
• • Participate in the design of robotic experiments that validate model generalization across diverse physical scenarios.
• • Maintain version control and traceability of robot software stacks, firmware, and sensor calibration parameters.
• • Proactively identify and resolve bottlenecks in data throughput, latency, and system reliability affecting model training cycles.