Supplier Development Engineer, Robotics

Meta•Redmond, WA

68d•$173,000 - $245,000•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

Develop optimized, scalable manufacturing processes for robotics components and modules — from component-level DFM through process bring-up and line qualification at supplier sites
Define quality characterization, inspection methodologies (FAI/CPK, MSA, OQC/IPQC/IQC), and qualification standards; oversee module qualification processes and OK2X execution
Develop end-to-end process strategies and fixture/process bring-up solutions that provide a clear path to mass production
Assess supplier capabilities, equipment readiness, and scalability; contribute to SPOR (Supplier Plan of Record) scorecards and drive vendor capability development
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
Partner with Hardware Engineering, Quality, Reliability, TPM, and Strategic Sourcing teams across all phases of the product development lifecycle
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 measures