Lambda
Designing the world's most advanced GPU systems for Deep Learning.
Deep Learning • Machine Learning • Artificial Intelligence
51 - 200
Manufacturing Quality Engineer
August 29
🏢 In-office - Bay Area
Lambda
Designing the world's most advanced GPU systems for Deep Learning.
Deep Learning • Machine Learning • Artificial Intelligence
51 - 200
Description
• Ensure the quality of AI, compute, storage, network, and rack hardware that is deployed to Lambda’s data centers • Implement an ODM model to develop system and rack level hardware. Participate in the supplier selection process and drive bring up of manufacturing facilities and production lines • Implement a comprehensive QMS system to track quality throughout the lifecycle of a product. Set KPIs, audit manufacturing facilities, and generate quality scorecards to track supplier performance • Collaborate with sales, engineering, and supply chain to understand hardware configurations and manage the Bill of Materials (BOM) • Build end to end processes to manage the manufacturing process, including, but not limited to, customer requirements documentation (CRD), manufacturing test plans, and first article inspection (FAI) criteria • Partner with data center operations to drive the RMA process and work with suppliers to ensure proper root cause and corrective actions (RCCA) • Use statistical analysis to evaluate manufacturing processes to identify opportunities for improvement in efficiency, cost effectiveness, and product quality
Requirements
• Have a BS in Electrical, Computer, Industrial, or Mechanical Engineering or equivalent practical experience • 5+ years of manufacturing quality experience • Hold a deep understanding of AI, compute, storage, and/or networking hardware • Have previous experience in product development, manufacturing processes, quality practices and debug of compute, storage, network, and/or AI hardware • Are experienced in system (server) manufacturing and rack level integration • Have experience implementing manufacturing tests in an ODM/CM environment • Possess prior experience presenting performance metrics and quality trends to executive leadership • Are proficient in quality tools such as six sigma, statistical process control (SPC), and failure mode and effect analysis (FMEA) • Have knowledge of MES, PLM, and other supply chain/manufacturing software
Benefits
• Health, dental, and vision coverage for you and your dependents • Commuter/Work from home stipends for select roles • 401k Plan with 2% company match • Flexible Paid Time Off Plan that we all actually use
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