At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.
Meta Robotics Studio is seeking a System Specialist who will own the end-to-end hardware test development, integration, and execution on complex robotic systems. This role bridges hardware and software — ensuring subsystems work together reliably, defining requirements, driving cross-functional collaboration, and delivering robust, scalable solutions for device validation and reliability testing. You will serve as a key technical liaison across engineering, manufacturing, and operations teams.
Responsibilities
- Architect and integrate robotic systems, subsystems, and test stations for device validation and reliability
- Define system-level requirements and specifications, translating customer and infrastructure partner needs into actionable product requirements
- Lead proof-of-concept projects to evaluate enabling technologies and subsystems; build and test prototypes
- Develop systems architecture for robotic platforms including manipulators, sensing, controls, and network connectivity
- Solidify and stabilize core robot functionality — sensing, controls, uptime, and communication interfaces
- Drive cross-functional collaboration across hardware, software, manufacturing, and operations teams throughout the project lifecycle
- Actively manage issues, risks, and schedules; participate in usability testing and design reviews
- Develop documentation, best practices, and standards for system integration
- Mentor and guide engineers in integration practices and systems thinking
- Influence technical strategy and roadmap for systems integration across the organization
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor's degree in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, or equivalent practical experience
- 10+ years of professional experience in systems engineering, systems integration, test station design, or robotic system development
- Experience with robotic platforms (e.g., ROS/ROS2) and integration of robotic algorithms (path planning, motion control, sensing, localization)
- Proficiency in Python and/or C++ for system-level development and automation
- Experience with characterizing and evaluating electromechanical systems
- Demonstrated experience leading cross-functional teams and driving complex integration projects from concept through production
- Experience communicating technical concepts clearly to diverse audiences (engineering, operations, non-technical stakeholders)
- Track record of defining technical direction and influencing organizational strategy Experience with rapid prototyping, hardware/software co-design, and manufacturing handoff processes
- Familiarity with reliability testing, validation frameworks, and design-for-test methodologies
- Experience optimizing design of existing products or devices for production at scale
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Knowledge of sensing technologies (distance sensors, IMUs, cameras), localization, and navigation
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience prioritizing work based on impact and deadlines, and taking ownership of deliverables through completion
- Experience working in highly collaborative, cross-functional environments at a hardware + software intersection
- 12+ years of experience in systems integration or robotic system development
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Master's degree or PhD in Engineering, Robotics, or a related field
- Proven track record mentoring engineers and building team capability