Performance Modeling Lead

📋 Description

• Build and own a performance modeling framework for AI systems.
• Analyze architectural tradeoffs across compute, memory, networking, storage.
• Develop models guiding scale-up vs scale-out decisions.
• Translate modeling outputs into actionable recommendations for internal teams and vendors.
• Influence reference designs and vendor roadmaps with data-driven insights.
• Lead a small team (2–3 engineers) and maintain high modeling rigor.

🎯 Requirements

• Experience owning or building performance modeling frameworks that drive real system design decisions.
• Deep knowledge of AI/ML workloads, including training and/or inference at scale.
• Understand system-level tradeoffs across compute, memory, and networking in large-scale distributed systems.
• Comfortable across abstraction layers—from workload behavior to hardware implementation.
• Experience using modeling (analytical or simulation) to inform architectural decisions.
• Work in ambiguity and convert open-ended questions into structured analysis; communicate clearly.

🎁 Benefits

• Relocation assistance
• Hybrid work model: 3 days in the office per week