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Responsibilities
- 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
- 5+ years of industry experience in robotics software engineering, robotic systems integration, or robotics operations
- Proficiency in Python, including experience writing production-quality scripts and automation tools, and experience with Linux systems administration
- Experience with ROS or ROS 2 in real-world robotic systems (not just simulation)
- Hands-on experience building up, debugging, and maintaining physical robot systems (manipulators, multi-camera setups, sensor suites)
- Experience with containerization (Docker) and deployment automation tools
- Demonstrated ability to work autonomously, define priorities, and drive projects to completion with minimal direction
- Experience communicating cross-functionally to translate between research goals and engineering execution
Preferred Qualifications
- Experience with motion capture systems, force/torque sensors, or tactile sensing hardware
- Experience scaling robot operations across multiple stations or sites, with a track record of reducing operational toil in research environments
- Experience with dexterous manipulation systems, multi-fingered hands, or humanoid robots
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience with ML training pipelines or ML Ops workflows (e.g., PyTorch, data validation frameworks)
- Master's degree in Robotics, Computer Science, Electrical Engineering, or related field
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Proficiency in C++ in addition to Python
- Experience with real-time control systems, including RTOS and hardware time synchronization
$154,003/year to $217,000/year + bonus + equity + benefits
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