Hardware Quality Engineer

What You’ll Do

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)

Analyze production system metrics and quality data to detect trends, anomalies, or weak points

Improve turnaround time (TAT) for Return Merchandise Authorization (RMA) processes

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

Capture 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 leadership

Oversee MRB (Material Review Board) inventory, rework, disposal decisions

Ensure the quality management system (QMS) is up to date, with necessary training rolled out

Work cross-functionally during hardware ramp, deployments, and upgrades to ensure quality gates

Up to 30% travel may be required for this role.

You

Have experience working with hardware / data center / infrastructure systems

Are 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 resolution

Are detail-oriented, process-driven, and quality-minded

Have 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 Have

Experience in the machine learning / AI infrastructure / GPU / HPC / computer hardware industry

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

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

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.