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Jobs/San Francisco/Systems Engineer (Network / Storage / Systems)
San Francisco, CA

Systems Engineer (Network / Storage / Systems)

About the Team The Stargate team is responsible for building the physical and logical infrastructure that powers large-scale AI systems. We design and deliver next-generation compute environments that support frontier model training and inference across an expanding global footprint.

Company
OpenAI
Compensation
$335K - $455K
Schedule
Full-Time
Role overview

What this role actually needs.

About the Team The Stargate team is responsible for building the physical and logical infrastructure that powers large-scale AI systems. We design and deliver next-generation compute environments that support frontier model training and inference across an expanding global footprint. Responsibilities: - Own system engineering workstreams across one or more critical domains including networking, storage, system validation, or bring-up. - Design and improve top-of-network architectures spanning frontend, WAN, OOB, firewall, and adjacent infrastructure layers. - Drive logical network readiness including routing, configuration management, provisioning, and issue resolution. - Define storage architectures across in-rack, in-pod, cluster, and cloud tiers with focus on performance, lifecycle, and cost efficiency. - Evaluate vendor hardware and infrastructure proposals, providing technical feedback on architecture, reliability, and operational fit. - Lead system bring-up for new hardware platforms including imaging, provisioning, validation, and readiness for production deployment. Requirements: - Experience supporting GPU clusters or accelerator-based infrastructure at scale. - Familiarity with cluster management, provisioning, or fleet lifecycle tooling. - Experience with network automation, storage optimization, or systems observability. - Background working across both hardware and software engineering organizations. - Experience scaling greenfield infrastructure deployments or rapid expansion programs. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.

Responsibilities

Day-to-day expectations

OpenAI lists these responsibilities for the Systems Engineer (Network / Storage / Systems) role.

  • Own system engineering workstreams across one or more critical domains including networking, storage, system validation, or bring-up.
  • Design and improve top-of-network architectures spanning frontend, WAN, OOB, firewall, and adjacent infrastructure layers.
  • Drive logical network readiness including routing, configuration management, provisioning, and issue resolution.
  • Define storage architectures across in-rack, in-pod, cluster, and cloud tiers with focus on performance, lifecycle, and cost efficiency.
  • Evaluate vendor hardware and infrastructure proposals, providing technical feedback on architecture, reliability, and operational fit.
  • Lead system bring-up for new hardware platforms including imaging, provisioning, validation, and readiness for production deployment.
Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • Experience supporting GPU clusters or accelerator-based infrastructure at scale.
  • Familiarity with cluster management, provisioning, or fleet lifecycle tooling.
  • Experience with network automation, storage optimization, or systems observability.
  • Background working across both hardware and software engineering organizations.
  • Experience scaling greenfield infrastructure deployments or rapid expansion programs.
UpJobz market context

Why this listing is more than a copied job post.

Systems Engineer (Network / Storage / Systems) is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

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Compensation read

$335K - $455K is visible before the click, so candidates can compare the role against local market expectations before applying.

Work authorization read

Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.

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Software EngineeringOn-siteaillmresearchpython

Watchouts

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aillmresearchpythonawssecurityuxplatformobservabilityapiinfrastructure
Next step

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Source: jobs.ashbyhq.com Β· Source ID: 695300fd-1332-4eff-ba1d-d87bb1691f73 Β· Confidence: 97/100 Β· Last checked: May 7, 2026

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