Hardware Quality Engineer
Core
Ensure quality of AI cloud hardware infrastructure by managing defects, performing root cause analysis, and driving corrective actions in data centers.
Role type
Senior Hardware Quality Engineer (Data Center/Infrastructure)
Builds
Reliable AI-IaaS infrastructure and compute hardware systems
Domain
AI Cloud Infrastructure / Data Center Operations
Deliverable
production ML models | infrastructure
Required skills
root cause analysis, data analysis, statistics, quality management systems (QMS), cross-functional collaboration, process improvement, defect tracking, inventory management, SLA/KPI definition
Preferred skills
GPU/HPC hardware experience, data center standards (ISO/Uptime Institute), supply chain quality, firmware/embedded systems knowledge, scripting (Python/SQL), cloud/hyperscaler operations
Technologies
QMS software, ERP, defect tracking tools, Python, SQL
Responsibilities
Track and manage quality issues in data center deployments, perform root cause analysis for hardware/software failures, analyze production metrics to detect anomalies, improve RMA turnaround times, design and drive CAPA, verify spares quality, oversee MRB inventory decisions, report quality KPIs to leadership, collaborate with engineering and supply chain teams, ensure QMS compliance and training
Seniority
Senior, hands-on IC
