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Manufacturing Quality Engineer

San Jose, CA, United States

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.

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