Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click "Apply to Job" online on this web page.

Manufacturing Quality Engineer, Manager Responsibilities

• Responsible for developing and implementing manufacturing processes for Meta open source server technologies by applying knowledge of product design, fabrication, assembly and testing.


• Further, they will ensure product and process quality targets are met by designing test methods, establishing standards and driving continuous improvement projects with contract manufacturers and commodity suppliers.


• Also, the Manufacturing Quality Engineering Manager will be responsible for driving root cause and corrective action for failures during server integration, rack production, and in the Data Center.


• They will create and maintain all production process and quality documentation.


• Moreover, they will create Bills of Material ( BOM ), Engineering Change Notifications ( ECN ) and manufacturing process changes through product lifecycle management ( PLM ) tools.

Minimum Qualifications

• Employer will accept a Master's degree in Industrial & Systems Engineering, Engineering, Applied Sciences, Mathematics, Physics or a related field and 36 months of work experience in job offered or engineering-related occupation. Experience must include at least 36 months of experience in the following:


• 1. Management experience with technical teams, or experience as a technical lead or project manager


• 2. Open compute, storage and network hardware design or engineering


• 3. Developing manufacturing test solutions for compute, storage and network hardware


• 4. Conducting Design of Experiments (DOE), root cause analysis, and troubleshooting of hardware issues


• 5. Troubleshooting and diagnosing problems in large-scale systems


• 6. Coordinating large-scale, cross-functional efforts that span different teams


• 7. Developing and managing requirements, and making data-driven decisions


• 8. Leading strategic implementation and planning for risk and growth.

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