Next Generation Robotics Stations: Evaluate new robotic arms and hands and architect next-gen robot stations
Robot Station Operations: Own the end-to-end lifecycle of real robot stations — build-up, calibration, validation, maintenance, and teardown. Ensure stations are reliable and ready for data collection and policy testing
Data Collection & Ingestion: Operate and support teleoperation data collection campaigns. Build and maintain pipelines for ingesting, validating, and organizing collected data to feed ML training workflows
Policy Deployment & Testing: Deploy trained control policies on real robotic hardware. Run evaluations, diagnose failures, and report results to research teams. Benchmark sim-to-real gaps
Tooling & Infrastructure: Develop and maintain tools that improve robot operations reliability, performance, and ease of use — including Docker environments, build systems, deployment automation, and monitoring/logging systems
System Integration: Integrate new hardware (sensors, hands, cameras) and software components (drivers, controllers, perception modules) into existing robot stations. Debug and resolve cross-system issues spanning RTOS, Linux, and Windows
Process Definition & Documentation: Define and document playbooks, runbooks, and standard operating procedures for robot operations. Continuously improve processes to reduce toil and increase station uptime
Cross-Functional Collaboration: Partner with policy researchers, embodiment engineers, teleop engineers, and exoskeleton teams to plan and execute experiments on real robots
Station Scaling: Lead the bring-up and commissioning of new robot stations across sites. Develop scalable approaches to multi-station management
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Bachelor's degree in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or equivalent practical experience
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