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Salary
≈ $48k – $108k per year (Estimated)
Location
In office (Shanghai)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
Meta Supplier Development Engineering team is looking for a supplier development engineer to be responsible for the overall quality and manufacturing process development within the supply chain on audio modules. This role requires experience in quality and manufacturing engineering, with the ability to independently manage priorities across multiple workstreams in a product development environment.

Responsibilities

The Supplier Development Engineer will be responsible for audio modules manufacturing process development and readiness within the supply chain Drive Design-for-Manufacturability (DFM) activities with vendors and provide technical support in enhancing process capability and solving technical issues Identify equipment, fixture, and tooling needs and drive implementation efforts to qualify and optimize the manufacturing process Establish quality and process control plans at vendors for early detection of issues, and to ensure quality and reliability targets are consistently met Responsible for conducting Design/Process FMEA, failure analysis, PPAP, and statistical process control Bring up and qualify the production line through DOEs, Line qualification, Machine buy, Cycle Time & UPH studies, and automation Evaluate prospective vendors for their process capability based on project needs, then be a major part of supplier identification and selection Publish concise reports on module yield performance, specification convergence status; drive failure analysis, corrective action implementation plan, and yield bridge to mass production Collaborate with Suppliers and Engineering teams in assessing, proposing, and developing process technologies based on project requirements

Qualifications

Bachelor's degree in Acoustics, Mechanical or Mechatronic Engineering 5+ years of experience in the audio industry Solid knowledge on manufacturing process design and supplier quality management Hands-on experience in the audio modules manufacturing process development with an understanding of equipment and methodologies commonly used in the industry Experience with quality tools such as SPC, FMEA, GR&R, DoE, metrology, GD&T, and Correlation studies Experience with the typical failure mode and its corresponding failure analysis methodology Experience with the reliability test plan to do quality risk assessment for audio at the module level Good communication, problem-solving, and collaboration skills Ability and willingness to travel up to 50% to vendors at different locations Demonstrated ability to integrate modern AI tools and agents to optimize or redesign engineering/operations workflows, driving measurable business impact (e.g., efficiency gains, yield enhancement, and quality improvements) Proven track record of scaling complex audio designs and manufacturing processes from inception (0-to-1) at vendor sites, including full production line bring-up to achieve fully automated manufacturing with defined quality metrics and UPH targets Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Master’s degree in Acoustic, Mechanical, or Mechatronic Engineering Experience stepping into a leadership role, driving cross-functional alignment, and delivering end-to-end results with minimal supervision

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