other
Posted Apr 21CPU Storage Tech Lead
at openai
San Francisco, United StatesRemote
Responsibilities
- - Lead bring-up and validation efforts for new CPU and storage platforms in lab and production environments.
- - Support supply chain and sourcing teams with technical vendor assessments and second-source strategies.
- - Drive reliability, serviceability, and fleet lifecycle planning for compute and storage platforms.
Requirements
- About the Team The Stargate team is responsible for building the physical infrastructure that powers large-scale AI systems.
- In this role, you will own technical direction across CPU platforms, memory configurations, local and disaggregated storage systems, and their integration into large-scale AI clusters.
- You will work cross-functionally with hardware engineering, performance modeling, networking, supply chain, and deployment teams, as well as external partners such as AMD, Intel, OEMs, ODMs, and storage vendors.
- - Define storage architectures for AI environments, including boot media, local NVMe, shared storage, caching tiers, metadata services, and high-performance data pipelines.
- - Translate future AI workload
- Qualifications - Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related technical field; advanced degree preferred. - 10+ years of
- experience in server hardware, systems architecture, data center infrastructure, or hyperscale compute platforms. - Deep expertise in modern CPU architectures (x86, ARM, accelerator host systems) and server platform design. - Strong understanding of memory systems, PCIe/CXL fabrics, NUMA behavior, and platform-level performance constraints. -
- Experience with storage systems including NVMe, SSD qualification, RAID, distributed storage, object/file systems, or high-performance data pipelines. -
- Experience evaluating hardware tradeoffs across performance, cost, power, thermals, and supply availability. - Familiarity with GPU clusters and AI training/inference infrastructure strongly preferred. -
- Experience working directly with OEMs, ODMs, silicon vendors, or storage vendors. - Strong systems thinking with ability to connect component decisions to fleet-level outcomes. - Excellent communication skills with the ability to influence engineering and executive stakeholders. - Proven ability to operate in fast-moving, ambiguous environments with high ownership. Preferred Skills -
- Experience designing infrastructure for large-scale AI or HPC environments. - Familiarity with CPU vendor roadmaps across AMD, Intel, and ARM ecosystems. -
- Experience with distributed storage architectures supporting GPU clusters. - Knowledge of fleet operations, hardware lifecycle management, and production deployments at scale. - Prior
- experience in hyperscale cloud, AI infrastructure, or advanced compute environments.
- About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence
Additional details
- We design and deliver next-generation data centers optimized for dense compute clusters, advanced networking, and rapidly evolving hardware platforms.
- This work sits at the intersection of hardware engineering, systems architecture, and infrastructure execution—translating cutting-edge compute roadmaps into scalable, production-ready environments.
- Our teams partner across silicon vendors, server and storage OEMs, networking teams, and data center engineering organizations to bring new capacity online quickly, reliably, and at global scale.
- About the Role We are seeking a CPU & Storage Technical Lead to define and drive the server compute and storage architecture strategy for Stargate infrastructure.
- You will evaluate vendor roadmaps, lead platform tradeoff decisions, and ensure compute and storage systems are optimized for training, inference, and supporting services.
- This is a highly strategic role for someone who can operate deeply at the component level while also driving long-range infrastructure decisions. Key
- Responsibilities - Own CPU and storage technical strategy for Stargate compute infrastructure across current and future generations.
- - Evaluate CPU platforms across performance, efficiency, memory bandwidth, PCIe topology, cost, and roadmap alignment.
- - Drive server platform decisions involving CPU, memory, NIC, GPU, and storage subsystem integration.
- - Partner with performance modeling teams to quantify tradeoffs across compute, memory, I/O, and storage bottlenecks.