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Meta

Supplier Development Engineer, Robotics

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What they do

A Robotics Engineer designs robots, maintains them, develops new applications for them, and conducts research to expand the potential of robotics. Utilizes a combination of electrical, mechanical, and software engineering. Common coding languages are C++ and Python.

$137,833 / year median in Washington

+7% projected growth

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Job Description

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.
Qualifications:
BS/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 methodologies