Manufacturing Quality Engineer

Lambda, founded in 2012 by AI engineers, aims to be the leading AI computing platform. They empower AI engineers to easily, securely, and affordably build, test, and deploy AI products at scale. Lambda offers high-performance on-prem GPU hardware and flexible cloud-based GPU solutions, striving to make access to powerful computation as effortless and ubiquitous as electricity.

The Manufacturing Quality Engineer role involves developing cutting-edge manufacturing and quality processes for AI compute, storage, and networking hardware. Key responsibilities include:

• Ensuring quality of hardware deployed to Lambda's data centers
• Implementing an ODM model for system and rack level hardware development
• Implementing a comprehensive QMS system
• Collaborating with various teams to manage hardware configurations and BOMs
• Building end-to-end processes for manufacturing management
• Partnering with data center operations for RMA processes
• Using statistical analysis to improve manufacturing processes

The ideal candidate should have:

• BS in Electrical, Computer, Industrial, or Mechanical Engineering
• 5+ years of manufacturing quality experience
• Deep understanding of AI, compute, storage, and/or networking hardware
• Experience in product development, manufacturing processes, and quality practices
• Proficiency in quality tools like six sigma, SPC, and FMEA

Lambda offers competitive compensation, including cash and equity, along with health, dental, and vision coverage, 401k with company match, and flexible PTO. The company is experiencing high demand and profitability, backed by investors like Gradient Ventures, Google's AI-focused venture fund.

This role requires presence in the San Jose Headquarters 4 days per week, with Tuesday as the designated work-from-home day.