Supplier Development Engineer, Robotics

Meta; Redmond (WA); On-site; USD 173,000 - 245,000; Full time

Job summary

Meta is seeking a Supplier Development Engineer to drive scalable manufacturing for robotics components, from prototype through mass production. You will work hands-on with suppliers, develop processes, drive quality systems, and collaborate across Hardware, Industrial Design, Process, Sourcing, and FATP Operations.

The role requires deep experience in supplier development, process engineering, and DFM, with substantial travel up to 25–40%.

Qualifications

• BS/MS in Mechanical, Electrical, Manufacturing, Industrial Engineering, Materials Science or similar.
• 10+ years in supplier development, manufacturing or process engineering for hardware.
• Hands-on experience with CNC, injection molding, die casting, sheet metal, painting/anodizing/coating, or PCBA assembly.
• Drive DFM, process optimization and quality improvement at supplier sites.
• Experience with GD&T, SPC/CPK, and MSA.
• Knowledge of NPI lifecycle from EVT/DVT/PVT to mass production ramp.
• AI skill development and staying current with emerging AI technologies.
• Experience with failure analysis of coating defects.
• Managing multiple suppliers across projects.
• Willing to travel 25–40% domestically and internationally.

Responsibilities

• Manufacturing Process Development: create scalable processes for robotics components and modules.
• Quality Engineering: define inspection methodologies and qualification standards.
• Oversee module qualification processes and OK2X execution.
• Tooling & Fixture Development: end-to-end strategies for mass production.
• Supplier Technical Management: assess capabilities, equipment readiness, scalability.
• Contribute to SPOR scorecards and vendor capability development.
• Provide DFM feedback to Product/Industrial Design teams.
• Cross-Functional Collaboration with Hardware, Quality, TPM, and Sourcing.
• Issue Resolution: debug manufacturing issues from NPI through ramp.
• Identify root causes and apply AI-assisted analysis for preventive actions.

Skills

DFM feedback

Quality engineering

NPI lifecycle

Supplier management

Root cause analysis

AI tools integration

Cross-functional collaboration

Project management

Education

BS/MS in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Industrial Engineering, Materials Science

Tools

CMM

Optical measurement

CT scanning

Job description

Summary:

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.

Required Skills:

Supplier Development Engineer, Robotics Responsibilities:

1. 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

2. Quality Engineering: Define quality characterization, inspection methodologies (FAI/CPK, MSA, OQC/IPQC/IQC), and qualification standards

3. oversee module qualification processes and OK2X execution

4. Tooling & Fixture Development: Develop end-to-end process strategies and fixture/process bring-up solutions that provide a clear path to mass production

5. Supplier Technical Management: Assess supplier capabilities, equipment readiness, and scalability

6. contribute to SPOR (Supplier Plan of Record) scorecards and drive vendor capability development

7. 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

8. Cross-Functional Collaboration: Partner with Hardware Engineering, Quality, Reliability, TPM, and Strategic Sourcing teams across all phases of the product development lifecycle

9. Issue Resolution: Debug manufacturing issues (yield, cosmetics, dimensions) at supplier sites from NPI through ramp

10. identify root causes and implement corrective actions, apply AI-assisted analysis to identify patterns and support preventive measures

Minimum Qualifications:

Minimum Qualifications:

1. BS/MS in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Industrial Engineering, Materials Science, or extensive experience in a related field

2. 10+ years of experience in supplier development, manufacturing engineering, or process engineering in a hardware product environment

3. 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

4. Demonstrated ability to drive DFM, process optimization, and quality improvement at supplier sites

5. Experience with GD&T, statistical process control (SPC/CPK), and measurement system analysis (MSA)

6. Strong understanding of NPI lifecycle from prototype (EVT/DVT/PVT) through mass production ramp

7. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

8. Experience with failure analysis and troubleshooting cosmetic and functional coating defects

9. Experience in managing multiple suppliers across and/or multiple projects

10. Willingness to travel domestically and internationally (up to 25–40%) to supplier sites

Preferred Qualifications:

Preferred Qualifications:

1. Experience managing multi-supplier programs and driving process standardization across vendors

2. Experience in robotics, consumer electronics, automotive, or medical device manufacturing

3. Strong project management skills with ability to manage multiple concurrent NPI programs

4. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

5. Knowledge of advanced surface finishing processes (CMF, softgoods, functional coatings)

6. Familiarity with electromechanical assemblies (motors, actuators, cable assemblies)

7. Background in supplier qualification, audit, and capability assessment (supplier scorecard evaluation)

8. Proficiency with metrology equipment and inspection methodologies (CMM, optical measurement, CT scanning)

9. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

10. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

11. Experience with FMEA, 8D, and root cause analysis methodologies

Public Compensation:

$173,000/year to $245,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affinative 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 [e-mail].