Hardware QA Engineer

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

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

*Note: This position requires presence in our San Jose office location 5 days per week

What You’ll Do

• Develop test methodology and specifications to verify and validate datacenter hardware against functional, performance and reliability requirements, in both development and production environments.

• Ensure accurate manufacturing and validation test coverage. The result of your work enables collecting design gaps in the development phase and screening out manufacturing assembly defects before they are shipped.

• Collaborate with Sourcing, NPI and Manufacturing teams to participate in supplier selection, define functional test coverage, pass/fail criteria, and manufacturing image features.

• Develop test stations to implement test coverage, which may include IQC, OQC, Randomized testing, Burn-In and REL.

• Own test preparation, authorize test methods, to complete and oversee test executions to support validation tests at Lambda.

• Analyze test data and share learnings with Quality, Sourcing, NPI teams to enable FA/RCA and design countermeasures.

You

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or equivalent practical experience

• 5+ years of experience in MFG/HW test experience across electronics, optical, aerospace or related space

• Familiar with common lab equipment such as: Power Supplies, Oscilloscopes, Optical Test Equipment, Signal Generators, DMMs, Logic Analyzers, etc

• Demonstrated proficiency in Python.

• Understanding of networking fundamentals in PCIe, Ethernet, and TCP/IP.

• A can-do attitude to navigate through ambiguity and break complex challenges into solvable engineering problems

Nice to Have

• Experience with Linux and basic shell scripting

• Experience in test development across high-volume-low-mix, and low-volume-high-mix environments

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. 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

• Founded in 2012, with 500+ employees, and growing fast

• Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

• We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

• Our values are publicly available: https://lambda.ai/careers

• We offer generous cash & equity compensation

• Health, dental, and vision coverage for you and your dependents

• Wellness and commuter stipends for select roles

• 401k Plan with 2% company match (USA employees)

• 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.