We’re looking for a Manufacturing Quality Engineer to develop cutting edge manufacturing and quality processes for our AI compute, storage, and networking hardware.

*Note: This position requires presence in our San Jose Headquarters 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

• 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

You

• 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 

Nice to Have

• MS in Electrical, Computer, or Mechanical Engineering
• Previous experience designing compute, storage, networking, or AI hardware products
• Experience with statistical analysis and modeling software
• Familiarity with regulatory requirements and standards such as ISO9001, ISO13485, and IPC
• Strong communication and presentation skills

Salary Range Information 

Based on market data and other factors, the salary range for this position is $120,000-$180,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.