Data Center Hardware Quality Engineer

Neura Market; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

Wellness stipend

Commuter stipend

401k with 2% match

Job summary

Lambda, the Superintelligence Cloud, is seeking a Quality Assurance / Data Center Reliability engineer to join the Operations team in San Jose. You will track quality issues, perform RCAs, and drive CAPA while collaborating across hardware, software, supply chain, and vendors to keep AI infrastructure reliable and scalable.

The role requires hands-on experience with data center systems, strong data analysis skills, and fluency in English.

Qualifications

• 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).

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)
• 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.

Skills

Data analysis

Root cause analysis

Cross-functional collaboration

English communication

Hardware / data center experience

Quality tools / QMS

Tools

QMS software

Job description

Lambda, the Superintelligence Cloud, is seeking a Quality Assurance / Data Center Reliability engineer to join the Operations team in San Jose. You will track quality issues, perform RCAs, and drive CAPA while collaborating across hardware, software, supply chain, and vendors to keep AI infrastructure reliable and scalable.

The role requires hands-on experience with data center systems, strong data analysis skills, and fluency in English.