Performance Modeling Lead

Highlights

• Build and own modeling frameworks guiding next-gen AI infrastructure design.
• Evaluate system tradeoffs to shape reference architectures and vendor roadmaps.
• Lead a small high-impact team answering forward-looking architectural questions.

What they offer

• Equity
• Relocation assistance

Ideal candidate

A rigorous systems thinker who thrives in ambiguity and turns open questions into clear, data-driven guidance for hardware strategy, motivated to lead a small team and partner across research and vendors.

Requirements

• Experience owning or building performance modeling frameworks used to drive system design decisions
• Deep knowledge of AI/ML workloads including training and/or inference at scale
• Understanding of system-level tradeoffs across compute, memory and networking in distributed systems
• Comfort working across abstraction layers from workload behavior to hardware implementation
• Experience using analytical or simulation modeling to inform architectural decisions
• Ability to turn ambiguous, open-ended questions into structured analysis
• Clear communication and ability to influence internal teams and external partners