Develop scalable approaches to multi-station managementBachelor'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 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 synchronizationMeta builds technologies that help people connect, find communities, and grow businesses. 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.