Senior Hardware Quality Engineer

Responsibilities: Lead deep-dive investigations into complex hardware failures across AI/GPU platforms. Perform single-node and rack-level validation to confirm remediation effectiveness. Analyze large volumes of telemetry, logs, and diagnostics data to identify failure patterns. Define and drive lightweight diagnostics and telemetry workflows for validation before ticket closure. Partner with diagnostics and platform teams to enable out-of-band telemetry collection and integrate diagnostics into workflows. Own fleet-level quality assessments for AI and GPU deployments across production and initial deployment phases. Drive improvements to failure detection latency, root cause attribution, and preventative quality controls. Coordinate with Firmware and electrical engineering for corrective actions and improve hardware reliability. Collaborate with supply chain and spares to align hardware availability with remediation needs. Work with Data center operations leadership to scale solutions globally and meet SLAs. Produce and maintain technical documentation, FMEA, and quality playbooks for operational excellence.

Key requirements: Doctorate Degree in Mechanical Engineering, Materials Engineering, Reliability Engineering, Electrical Engineering, or related field with 2+ years experience OR Master’s with 4+ years OR Bachelor’s with 5+ years OR 12+ years relevant experience Ability to pass Microsoft Cloud Background Check and security screenings Leadership and collaboration across diverse teams Project management Strong communication and documentation skills End-to-end hardware quality engineering Root-cause analysis for hardware failures Telemetry analysis and diagnostics workflow design