Principal AI System Architect

What you'll do

• Define AI rack and cluster-scale architecture across accelerator, host, network, memory, storage, power, and cooling constraints.
• Perform quantitative trade-offs between system performance and total cost of ownership (TCO).
• Develop functional proof-of-concepts to evaluate and de-risk new hardware capabilities.
• Write and own high-level product requirements and technical specifications for AI systems.
• Use performance simulations and hardware models to conduct what-if studies for architectural decision-making.
• Participate in industry consortiums to shape standards and influence vendor roadmaps.
• Drive alignment across cross-functional engineering and leadership teams to ensure project outcomes.

What we're looking for

• Master's degree in Engineering and 7+ years of experience, or Bachelor's degree and 8+ 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 a key domain like power management or networking (preferred).
• Skilled in partnering with and influencing architects, hardware engineers, and software leads (preferred).