Hardware Quality 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 4 days per week; Lambda’s designated work from home day is currently Tuesday.The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. 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.What You’ll DoTrack, 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)Analyze production system metrics and quality data to detect trends, anomalies, or weak pointsImprove turnaround time (TAT) for Return Merchandise Authorization (RMA) processesDesign, 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 issuesCapture and upload failure analysis (FA) reports and related data into Quality Management Systems (QMS)Verify quality of spares (incoming and outgoing) to avoid repeat failures.Define and track quality KPIs / SLAs and report on quality performance to leadershipOversee MRB (Material Review Board) inventory, rework, disposal decisionsEnsure the quality management system (QMS) is up to date, with necessary training rolled outWork cross-functionally during hardware ramp, deployments, and upgrades to ensure quality gatesUp to 30% travel may be required for this role.YouHave experience working with hardware / data center / infrastructure systemsAre strong at data analysis, statistics, and metrics (you can turn raw data into insight)Are skilled in root cause analysis methods (5 Whys, fishbone, 8D, A3, etc.)Are comfortable managing cross-team communication, stakeholder expectations, and conflict resolutionAre detail-oriented, process-driven, and quality-mindedHave experience working with quality tools or QMS software (e.g. audit modules, ERP, defect tracking)Communicate clearly in English (both written and verbal)Nice to HaveExperience in the machine learning / AI infrastructure / GPU / HPC / computer hardware industryExposure to data center standards, certifications (e.g. ISO, Uptime Institute, etc.)Experience working on vendor quality, supply chain quality, or incoming inspectionsUnderstanding of firmware, embedded systems, reliability engineeringFamiliarity with scripting or automation (Python, SQL, etc.) to help with data processingExposure to cloud or hyperscaler infrastructure operationsExperience with “manufacturing-like” quality concepts applied to compute hardwareSalary Range InformationThe 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 LambdaFounded in 2012, with 500+ employees, and growing fastOur 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 CoveWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGOur values are publicly available: We offer generous cash & equity compensationHealth, dental, and vision coverage for you and your dependentsWellness and commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible paid time off plan that we all actually useEqual Opportunity EmployerLambda 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.Compensation Range: $135K - $180KLocationSan Jose Office (Zanker); San Jose Office (First St)Employment TypeFull timeLocation TypeHybridDepartmentData Center BusinessCompensation$135K – $180K