Influence roadmap and priorities through deep system understanding and proactive problem identification Collaborate & Mentor Cross-Functionally: Work with diverse research and engineering teams to refine modules, drive end-to-end system improvements, and elevate the technical capabilities of the broader teamBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Computer Science, Computer Engineering, Robotics, or related technical field (or equivalent practical experience) 5+ years of experience in robotics engineering, including hands-on work with robotic platforms in industry or academic research settings Demonstrated experience with machine learning systems in a robotics context (e.g., learned control policies, perception models, or ML-driven planning) Full-stack systems engineering experience designing, building, and maintaining large-scale software-hardware systems Track record of driving complex, ambiguous technical projects from conception through delivery with minimal direction Experience communicating technical decisions and system designs to cross-functional stakeholders across research and engineering functions (e.g., design documents, technical reviews, project proposals) Experience building and operating systems that bridge research exploration and reliable deployment Background in computer vision, imitation learning, reinforcement learning, model-predictive control, or sim-to-real transfer Master's or Ph. D. 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 Experience in dexterous manipulation, learned robotic policy deployment, or control theory applied to real hardware Experience designing data collection protocols and building high-quality ML datasets at scale History of mentoring engineers and influencing technical direction beyond your immediate team Deep familiarity with robotics frameworks (e.g., ROS/ROS2) and real-time robotic control systems Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Meta builds technologies that help people connect, find communities, and grow businesses.