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.The Meta Robotics Hardware team is seeking a Mechanical Engineering Technician to be the hands-on bridge between engineering concepts and physical reality. You will work closely with our design engineers to rapidly build, assemble, and test complex robot hardware. You will play a critical role in realizing our vision for advanced robotics by building high-quality prototypes, designing and maintaining test fixtures, and documenting rigorous procedures for assembly, repair, and safety.Candidates should be comfortable working in a high ambiguity, fast-paced environment where full system requirements are seldom known. The role will be an integral member of a small ME team dedicated to building hardware that enables AI learning through data collection and system testing.Mechanical Engineering Technician, Robotics Hardware Engineering Responsibilities:Rapid Prototyping & Fabrication: Fabricate mechanical components and assemblies using diverse processes including 3D printing, CNC machining, and manual fabricationComplex Assembly: Build and integrate structural components, precision actuators and gearboxes, wire electronics, ensuring precision and fit for complex robotic systemsTesting & Validation Support: Support engineering teams in conceptualizing and executing experiments, running mechanical safety tests (crush/force testing), performance validation, and reliability studiesLab & Material Management: Manage lab materials and organization including tools and consumables. Maintain high standards for lab safety, tool organization, and equipment readinessInstrumentation: Demonstrate familiarity with standard lab test equipment (e.g., power measurement, LCR meters, data acquisition systems)Documentation & SOPs: Create and maintain detailed assembly instructions, test procedures, and maintenance logs to ensure repeatable processes and compliance with safety standardsCross-Functional Collaboration: Partner with mechanical, manufacturing, industrial, and electrical engineers to provide feedback on manufacturability, assembly issues, and design refinementsMinimum Qualifications:5+ years of experience in hardware development, prototyping, or manufacturing (robotics, consumer electronics, or automotive preferred)Strong hands-on fabrication skills (machining, 3D printing, laser cutters, and hand tool usage)Proficiency in CAD software (e.g., SolidWorks, NX, or Rhino) to interpret designs, design tooling, and perform basic modifications to existing partsUnderstanding of mechanical safety principles, including contact force and entrapment hazardsExcellent technical writing and documentation skillsProven ability to work in a fast-paced environment with high ambiguity and rapidly shifting prioritiesExperience managing time-sensitive projects through to completion while balancing evolving priorities and a broad range of stakeholdersExperience with rapid prototyping manufacturing processes and materialsExperience influencing design decisions across multidisciplinary teamsBackground in high-mix/low-volume transitioning to mid-volume production environmentsPreferred Qualifications:Working knowledge of CNC machining processes — understanding of fixturing, tool access, setup minimization, and achievable tolerancesDegree in Engineering (Electrical, Mechanical, Computer, or related discipline)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Familiarity with soft robotics materials (e.g., silicone, TPU, foams) and integration techniquesExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Knowledge of Python or scripting for basic test automation or data collectionDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience in conducting mechanical tests (FEA correlation, load testing, or fatigue analysis)Direct experience with robotic systems — DC motors, actuators, gearboxes, linkage mechanismsAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.$111,010/year to $159,994/year + bonus + equity + benefitsIndividual 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.