Member of Technical Staff - Hardware Health (AI)

Location: Mountain View, United States. Employees living within 50 miles of a designated U.S. Microsoft office are expected to work from that office at least four days per week.

Salary: USD $119,800–$234,700 per year for Software Engineering IC4, or USD $142,800–$274,800 per year for Software Engineering IC5. San Francisco Bay Area and New York City metropolitan area ranges differ.

Company

Microsoft AI develops Copilot, Bing, Edge, generative AI research, and large-scale AI infrastructure designed to amplify human potential.

What you will do

• Design and develop hardware health monitoring and diagnostic frameworks for large GPU clusters at NVL16, NVL72, and GB200+ scale.
• Build predictive analytics pipelines using telemetry, power, and thermal data to anticipate hardware degradation and systemic issues.
• Collaborate with silicon, firmware, datacenter, and platform engineering teams to identify root causes and remediate hardware anomalies.
• Define system health KPIs, including NIS/RIS, MTBF, and failure-domain analysis, and integrate them into real-time observability platforms.
• Lead incident triage for GPU, network, and cooling issues across distributed clusters.
• Automate health management to reduce manual intervention and influence hardware design for reliability, thermal efficiency, and serviceability.

Requirements

• Bachelor's degree in Computer Science or a related technical field and 6+ years of technical engineering experience, or equivalent experience.
• Coding experience in C, C++, C#, Java, JavaScript, or Python.
• Experience with large-scale HPC or GPU systems, such as NVIDIA H100 or GB200 systems.
• Understanding of GPU architecture, high-speed interconnects including NVLink, InfiniBand, and RoCE, and large datacenter topologies.
• Proficiency with hardware telemetry, diagnostics, or failure-analysis tools.
• Experience with exascale-class systems or cloud-scale AI clusters.

Nice to have

• Master's degree in Computer Science or a related technical field and 8+ years of technical engineering experience.
• Experience with reliability modeling, machine-learning-based anomaly detection, or predictive maintenance.
• Contributions to large-scale infrastructure operations, supercomputing centers, or AI hardware design.

Culture & Benefits

• Work with research, hardware, datacenter, and platform engineering teams on frontier-scale AI infrastructure.
• Build systems supporting Copilot, generative AI research, and other consumer AI products.
• Benefits and additional compensation may be available depending on role eligibility.
• Microsoft provides equal employment opportunity and reasonable accommodations during the application process.

Hiring process

• Applications are accepted on an ongoing basis until the position is filled.
• The position will remain open for a minimum of five days.