You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities.

This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems.

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:

• Have 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.
• Are comfortable working with performance modeling outputs to inform architectural direction.
• Have experience working with or managing hardware vendors (ODM/JDM, silicon, networking).
• Can drive alignment across multiple stakeholders with competing constraints.
• Have a track record of turning ambiguous requirements into clear, executable system designs.
• Are 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.

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