Lambda
Hardware Quality Engineer
San Jose Office (Zanker)
Sponsorship not specifiedDetected 8 hours ago
PythonSQLCloud PlatformsMachine LearningData AnalysisStatisticsSupply ChainProcurementERPEmbedded SystemsResearchLeadershipCommunication
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37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware.
- By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.
- 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.
Responsibilities
- Track, log, and manage all quality issues arising in the data center during deployment and production environment
- Perform root cause analysis (RCA) for every failure (hardware, software, process)
- Design, monitor, and drive corrective and preventive actions (CAPA)
- Implement and verify containment actions to keep systems operational until permanent fixes are applied.
- Collaborate with operations, hardware, engineering, supply chain, and vendors to resolve quality issues
- 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
Requirements
- Up to 30% travel may be required for this role.
- Are strong at data analysis, statistics, and metrics (you can turn raw data into insight)
Nice to have
- Exposure to data center standards, certifications (e.g. ISO, Uptime Institute, etc.)
- Experience working on vendor quality, supply chain quality, or incoming inspections
- Understanding of firmware, embedded systems, reliability engineering
- Familiarity with scripting or automation (Python, SQL, etc.) to help with data processing
- Exposure to cloud or hyperscaler infrastructure operations
- Experience with "manufacturing-like" quality concepts applied to compute hardware
- 401k Plan with 2% company match (USA employees)
Skills
- Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
- One person, one GPU.
Compensation
- 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.
- We offer generous cash & equity compensation
Benefits
- We have research papers accepted at 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
- Flexible paid time off plan that we all actually use
Company info
- 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.
Equal opportunity
- 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.
Visa & Work Authorization
- ational 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
This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.