QA Engineer

10 Minutes ago • 5 Years + • $135,000 PA - $203,000 PA
Quality Assurance

Job Description

The QA Engineer will develop test methodologies and specifications for datacenter hardware, ensuring accurate manufacturing and validation test coverage. This role involves collaborating with Sourcing, NPI, and Manufacturing teams, developing test stations, owning test preparation, and analyzing test data to identify design gaps and defects. The position requires 5 days per week presence in the San Jose office.
Good To Have:
  • Experience with Linux and basic shell scripting.
  • Experience in test development across high-volume-low-mix and low-volume-high-mix environments.
Must Have:
  • Develop test methodology and specifications for datacenter hardware.
  • Ensure accurate manufacturing and validation test coverage.
  • Collaborate with Sourcing, NPI, and Manufacturing teams.
  • Develop test stations for IQC, OQC, Randomized testing, Burn-In, and REL.
  • Own test preparation and oversee test executions.
  • Analyze test data and share learnings.
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or equivalent.
  • 5+ years of experience in MFG/HW test (electronics, optical, aerospace).
  • Familiarity with lab equipment: Power Supplies, Oscilloscopes, Optical Test Equipment, Signal Generators, DMMs, Logic Analyzers.
  • Proficiency in Python.
  • Understanding of networking fundamentals (PCIe, Ethernet, TCP/IP).
  • Ability to navigate ambiguity and solve complex engineering problems.
Perks:
  • 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.

Add these skills to join the top 1% applicants for this job

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU.

If you'd like to build the world's best deep learning 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, ~400 employees (2025) and growing fast
  • We offer generous cash & equity compensation
  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
  • 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
  • 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.

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