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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