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ai system architecture performance modeling gpus data center networking📋 Description
- Define rack- and cluster-level architectures for AI infrastructure deployments.
- Translate workload requirements into system design specs and partner deliverables.
- Collaborate with performance modeling teams to evaluate tradeoffs.
- Align stakeholders on critical system attributes (performance, cost, power, reliability).
- Identify gaps in tech offerings and drive vendors to close them.
- Influence vendor roadmaps to meet future infrastructure needs.
🎯 Requirements
- Strong experience in system architecture for large-scale infra or data centers.
- Understand AI workload characteristics and mapping to design decisions.
- Experience with performance modeling outputs to inform design.
- Experience with hardware vendors (ODM/JDM, silicon, networking).
- Ability to drive alignment across stakeholders with competing constraints.
- Track record turning ambiguous requirements into executable designs.
🎁 Benefits
- Hybrid work model: 3 days in office per week.
- Relocation assistance provided.
- Equal opportunity employer policy.
🚚 Relocation support
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