Manufacturing Quality Engineer, Lambda
$120-180k
+ equity
More information about location
4+ days a week in office (San Jose, CA)
Deep learning infrastructure company
Be an early applicant
Deep learning infrastructure company
201-500 employees
Be an early applicant
$120-180k
+ equity
More information about location
4+ days a week in office (San Jose, CA)
201-500 employees
Company mission
To accelerate human progress through computation.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- We’re looking for a Manufacturing Quality Engineer to develop cutting edge manufacturing and quality processes for our AI compute, storage, and networking hardware
- 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
Our take
Lambda is a leading provider of deep learning GPU cloud services and computing hardware, founded to aid in providing a solution to the difficult problem of teaching machines how to see and learn.
Their customers include Apple, Intel, Microsoft, Linkedin, and Fortune 500 companies like Microsoft and Amazon Research, so it's no coincidence that Lambda GPU Cloud ranks number three on a google search for 'GPU cloud', behind only NVIDIA and Google itself.
With investments from 1517, Gradient Ventures, Bloomberg Beta, and Razer, Lambda intends on using the capital to expand its cloud and software, engineering teams. As well as looking to ramp up more investments into its GPU cloud, the company is constantly working to improve its hardware products.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Feb 2024
$320m
SERIES C
Mar 2023
$44m
SERIES B
Total funding: $383m
Company benefits
- 100% remote team
- Healthcare, dental, vision, work-from-home Internet, and phone stipend.
- Vacation Plan: We offer flexible PTO to all team members as well as five sick days and twelve paid holidays each year.
- Paid Leave: Team members will receive financial security during some of life's more stressful moments, should they experience those. Offering paid parental leave, paid personal medical leave, and paid caregiver leave.
Company values
- Customers first: We seek to understand every aspect of what makes our customers tick. We focus on delivering amazing products to solve those problems and give our customers superpowers.
- Intellectual curiosity: We are always learning, diving deep, and going directly to the source.
- Humility: Everything goes smoother when work interactions are "low ego". Humility is important because admitting you don't know something is the first step to learning and improving.
- Speed: As a startup, speed of execution and the tightness of our feedback loops are two of the advantages we have over massive global companies.
Company HQ
Dogpatch, San Francisco, CA
Articles
Leadership
Michael Balaban
(Co-Founder)Graduating with a BS in Discrete Mathematics and Computer Science, Michael is experienced in software engineering and previously worked for Nextdoor as part of its infrastructure team.
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