Research Engineer Robotics (Operations)

Reality Labs Research (Reality Labs Research) brings together a multidisciplinary and highly interdisciplinary team of researchers and engineers to create the future of dexterous robotic manipulation. We are seeking an experienced Robotics Operations Engineer to own and scale our real-robot operations infrastructure. You will be responsible for designing, building, validating, and supporting robotic manipulation stations used for data collection, policy deployment, and real-robot evaluation. You will work closely with research scientists, policy engineers, and embodiment teams — serving as the critical bridge between research ideas and physical robot results. This is a high-impact, high-autonomy role: you will define processes, build tools, and unblock researchers across the team.
Research Engineer Robotics (Operations) 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., Py Torch, 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

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For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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