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Manufacturing Quality Engineer

Remote:

Full Remote

Contract:

Full time

Salary:

120 - 180K yearly

Experience:

Senior (5-10 years)

Work from:

California (USA), United States

Offer summary

Qualifications:

BS in Electrical, Computer, Industrial or Mechanical Engineering, 5+ years of manufacturing quality experience, Deep understanding of AI and compute hardware, Experience in implementing manufacturing tests, Familiarity with quality tools like Six Sigma.

Key responsabilities:

Ensure quality of hardware deployed to data centers
Implement ODM model for hardware development
Manage QMS system tracking product quality
Collaborate on hardware configurations and BOM
Drive RMA process and analyze methods for improvement

Lambda SME https://lambdalabs.com/

51 - 200 Employees

See more Lambda offers

Job description

Lambda was founded in 2012 by AI engineers who published research at top machine learning conferences. We aim to be the leading AI computing platform, supporting developers throughout the entire AI development lifecycle. At Lambda, we empower AI engineers to easily, securely, and affordably build, test, and deploy AI products at scale. Our offerings include high-performance on-prem GPU hardware and flexible cloud-based GPU solutions. We aim to make access to powerful computation as effortless and ubiquitous as electricity.

If you'd like to build the world's best deep learning cloud, join us.

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.

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 300, and growing fast
Health, dental, and vision coverage for you and your dependents
Commuter/Work from home stipends for select roles
401k Plan with 2% company match
Flexible Paid Time Off Plan that we all actually use

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.