Principal AI Systems Architect

What you'll do

• Define AI rack- and cluster-scale architecture across accelerator, host, network, memory, storage, power, cooling, and datacenter constraints.
• Make quantitative trade-offs between performance and total cost of ownership (TCO).
• Develop functional proof-of-concepts to evaluate and de-risk new capabilities.
• Write and own high-level product requirements and specifications for AI systems.
• Use performance simulations and hardware models to conduct what-if studies and select architecture options.
• Participate in industry consortiums to shape standards and influence vendor roadmaps.

What we're looking for

• Master's degree in Engineering and 9+ years of experience, or Bachelor's degree and 11+ years of experience.
• Ability to pass Microsoft Cloud Background Check and other required security screenings.
• Experience in large scale AI datacenter systems and their network (preferred).
• Expertise in networking, reliability, serviceability, or datacenter architecture for large scale AI systems (preferred).
• Experience owning hardware system architecture at scale and authoring specifications (preferred).
• Ability to make decision trade-offs across multiple domains (preferred).
• Deep expertise in AI systems or specific domains like power management or networking (preferred).
• Skilled in partnering with and influencing architects, engineers, and software leads (preferred).