Manufacturing Quality Engineer

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

We’re looking for a Manufacturing Quality Engineer to develop cutting edge manufacturing and quality processes for our AI compute, storage, and networking hardware. If you'd like to build the world's best deep learning cloud, join us. 

*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

About Lambda

• We offer generous cash & equity compensation
• Investors include Gradient Ventures, Google’s AI-focused venture fund
• We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
• We have a wildly talented team of 200, and growing fast
• Health, dental, and vision coverage for you and your dependents
• Commuter/Work from home stipends
• 401k Plan with 2% company match
• Flexible Paid Time Off Plan that we all actually use

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. 

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.