Head of Data Center Rack and Cluster
At a glance
Highlights
- Leadership of AI compute infrastructure
- San Francisco headquarters
- Compensation $391k‑$456k USD
Heads up
- Requires hyperscale data center experience
- Leadership of large‑scale hardware programs
Why this role might suit you
A senior engineering leader with deep hyperscale data‑center and hardware platform experience can shape OpenAI’s next‑generation compute infrastructure and drive large‑scale AI model deployment.
Skills
About the role
About the Team
The Industrial Compute team at OpenAI is responsible for all things compute capacity, from our partnership deals (i.e. stargate) through the delivery and operations of this capacity. The team is a fast-paced, dynamic team working on the cutting edge of capacity at scale, speed, quality, and cost, while enabling the best AI Frontier models and beyond.
About the Role
This role is responsible for leading the engineering team that defines the rack and system architectures underpinning the compute infrastructure enabling OpenAI’s frontier AI models. The role will oversee the early phases of compute definition from architectural definition through delivery of production-ready racks.
We are looking for an experienced engineering leader who understands how to navigate the technical and business tradeoffs required to build the world’s premiere AI infrastructure. Qualified candidates will have extensive hands-on experience in system bring up and a proven ability to bring platforms to a stable state ready for production use through lab and early test and deployment environments.
In this role, you will:
- Own the reference rack, cluster, and system architecture standards for new OpenAI compute platforms.
- Define readiness and acceptance criteria for production-bound systems.
- Stay engaged through validation until configurations are proven repeatable and ready for handoff.
- Manage relationships with accelerator and equipment vendors to define an overall roadmap
- Partner across the industrial compute and partner teams to bring clarity to requirements and ensure smooth delivery of next-gen systems
- Manage a team of engineering leads focused on the architectural and engineering work required to define, test and stabilize OpenAI’s future compute platforms.
You might thrive in this role if you:
- Have hyperscale data center experience (or equivalent)
- Have deep experience in rack, system, or network architecture definition
- Can effectively leverage performance and TCO modeling and a deep understanding of business risks and requirements to guide complex and often ambiguous system tradeoffs.
- Have experience overseeing delivery of complex new hardware platforms and can effectively shepherd systems from first delivery to production-ready state
- Can manage vendor relationships to resolve rack and system issues in addition to shepherding vendor roadmaps to support OpenAI’s needs.
- Have excellent management and leadership skills.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation
This Operations role pays $391k-$456k/yr. Within typical range for operations roles in United States.
Questions about this role
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