- Product Quality Engineering, AI/ ML Hardware Responsibilities
- Lead the development of a comprehensive product quality strategy and process for next-generation AI hardware systems, ensuring timely delivery and exceeding quality standards
- Ensure product and process quality targets are met by designing test methods, establishing standards and driving continuous improvement projects with Meta manufacturing partners and key commodity suppliers
- Drive root cause and corrective action for failures that occur during server integration, rack production and in the Data Center
- Early engagement with Meta Engineering teams to implement robust DFx requirements and ensure products meet cycle-time, cost, quality and yield targets
- Create and maintain all production process and quality documentation
- Conduct First Article and Source Inspections reviews on Meta hardware components and assemblies
- Create BOMs, engineering change notifications, and manufacturing process changes through product lifecycle management tools
- BS, Electrical or equivalent
- 7+ years experience in manufacturing and test for Compute, Storage or Network Hardware products
- Experience collaborating with Original Design Manufacturers (ODMs) to deliver high-quality data center server accelerator products
- Experience with manufacturing test solutions for Data Center Infrastructure hardware products
- Experience with new product introduction and manufacturing operations is required
- Knowledge of quality methodologies and tools is required
- Proven problem solving and demonstrated experience in communicating with clients and customers in order to drive positive impact
- Experience working on AI Hardware
- Scripting skills in Bash, Perl, or Python is desirable
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