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3P Architect

342k – 555kSan Francisco, CASeattle, WAHybrid
Summary

Defines rack- and cluster-level reference architectures for AI infrastructure, translates workload requirements into designs, collaborates with partners and modeling teams to evaluate tradeoffs, and drives vendor roadmaps to address technology gaps.

About the role

Key Responsibilities

  • Define rack- and cluster-level reference architectures for AI infrastructure deployments.
  • Translate workload requirements into clear system design specifications and partner deliverables.
  • Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors.
  • Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability).
  • Identify gaps in current technology offerings and drive vendors (ODM/JDM, silicon, networking) to close those gaps.
  • Influence and shape vendor roadmaps to meet future infrastructure needs.
  • Track emerging technologies and evaluate their applicability to AI systems.
  • Define and lead proof-of-concept (PoC) efforts to validate new architectures and technologies.
  • Act as a key interface between OpenAI and external partners, ensuring execution against design intent.

Qualifications

  • Strong experience in system architecture for large-scale infrastructure or data center environments.
  • Understand AI workload characteristics and how they map to system-level design decisions.
  • Comfortable working with performance modeling outputs to inform architectural direction.
  • Experience working with or managing hardware vendors (ODM/JDM, silicon, networking).
  • Can drive alignment across multiple stakeholders with competing constraints.
  • Track record of turning ambiguous requirements into clear, executable system designs.
  • Proactive in identifying gaps and driving solutions across organizational boundaries.

Preferred Skills

  • Experience defining rack- or cluster-level systems for hyperscale or AI workloads.
  • Familiarity with accelerators (GPUs/ASICs), interconnects, and data center networking architectures.
  • Experience influencing vendor roadmaps and reference designs.
  • Background in infrastructure deployment, hardware engineering, or systems integration.
  • Experience leading PoCs or early-stage hardware validation efforts.
Skills
AI infrastructuresystem architectureperformance modelingGPUsASICsinterconnectsdata center networkingODMJDMrack designcluster design
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