OpenAI

3 months ago

CPU Storage Tech Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Lead the CPU and storage architecture for Stargate infrastructure in support of large-scale AI compute clusters. Drive platform tradeoffs, storage architecture design, and vendor collaborations across hardware, networking, and data center teams to ensure scalable, reliable, AI-ready compute environments.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Manager level

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.
•Define storage architectures for AI environments, including boot media, local NVMe, shared storage, caching tiers, metadata services, and high-performance data pipelines.
•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.

Pay and Benefits

Salary: USD 342,000 - 555,000 annually

Equity and Bonus:Equity

Key Requirements

•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:10+ yearsHyperscale computeAI infrastructureData center

Education:Bachelor's

Skills:X86ARMPCIeCXLNVMeSSDGPUNetworkingOEMs

Tech Stack:X86ARMPCIeCXLNVMeSSDGPUNetworking

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

3 months ago

CPU Storage Tech Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Manager level

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.
•Define storage architectures for AI environments, including boot media, local NVMe, shared storage, caching tiers, metadata services, and high-performance data pipelines.
•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.

Pay and Benefits

Salary: USD 342,000 - 555,000 annually

Equity and Bonus:Equity

Key Requirements

•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:10+ yearsHyperscale computeAI infrastructureData center

Education:Bachelor's

Skills:X86ARMPCIeCXLNVMeSSDGPUNetworkingOEMs

Tech Stack:X86ARMPCIeCXLNVMeSSDGPUNetworking

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor