Supplier Development Engineer, Robotics

Meta's Robotics Supplier Development Engineering (SDE) team is looking for a Supplier Development Engineer to join our growing team. The SDE team sits at the critical juncture between innovative product design and scalable, high-volume manufacturing - bridging upstream development (product design, material selection) and downstream integration (FATP). You will take ownership of the technical and operational complexities of ramping robotics products from prototype through mass production.

This is a unique opportunity to shape how Meta's next-generation robotics hardware gets built at scale. You'll work hands-on with suppliers, develop manufacturing processes, drive quality systems, and collaborate deeply with Hardware, Industrial Design, Process, Sourcing, FATP Operations.Manufacturing Process Development: Develop optimized, scalable manufacturing processes for robotics components and modules - from component-level DFM through process bring-up and line qualification at supplier sites Quality Engineering: Define quality characterization, inspection methodologies (FAI/CPK, MSA, OQC/IPQC/IQC), and qualification standards; oversee module qualification processes and OK2X execution Tooling & Fixture Development: Develop end-to-end process strategies and fixture/process bring-up solutions that provide a clear path to mass production Supplier Technical Management: Assess supplier capabilities, equipment readiness, and scalability; contribute to SPOR (Supplier Plan of Record) scorecards and drive vendor capability development Design for Manufacturability (DFM): Provide early DFM feedback to Product Design and Industrial Design teams, identify manufacturing process risks before architecture lock, and ensure design intent is preserved through production Cross-Functional Collaboration: Partner with Hardware Engineering, Quality, Reliability, TPM, and Strategic Sourcing teams across all phases of the product development lifecycle Issue Resolution: Debug manufacturing issues (yield, cosmetics, dimensions) at supplier sites from NPI through ramp; identify root causes and implement corrective actions, apply AI-assisted analysis to identify patterns and support preventive measuresBS/MS in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Industrial Engineering, Materials Science, or extensive experience in a related field 10+ years of experience in supplier development, manufacturing engineering, or process engineering in a hardware product environment Hands-on experience with manufacturing processes such as CNC machining, injection molding, die casting, sheet metal fabrication, surface finishing (painting, anodization, coating), or PCBA assembly Demonstrated ability to drive DFM, process optimization, and quality improvement at supplier sites Experience with GD&T, statistical process control (SPC/CPK), and measurement system analysis (MSA) Strong understanding of NPI lifecycle from prototype (EVT/DVT/PVT) through mass production ramp Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with failure analysis and troubleshooting cosmetic and functional coating defects Experience in managing multiple suppliers across and/or multiple projects Willingness to travel domestically and internationally (up to 25-40%) to supplier sites Experience managing multi-supplier programs and driving process standardization across vendors Experience in robotics, consumer electronics, automotive, or medical device manufacturing Strong project management skills with ability to manage multiple concurrent NPI programs Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Knowledge of advanced surface finishing processes (CMF, softgoods, functional coatings) Familiarity with electromechanical assemblies (motors, actuators, cable assemblies) Background in supplier qualification, audit, and capability assessment (supplier scorecard evaluation) Proficiency with metrology equipment and inspection methodologies (CMM, optical measurement, CT scanning) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience with FMEA, 8D, and root cause analysis methodologiesMeta 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 employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .