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Jobs/San Francisco/Tokens-As-A-Service (Taas) Software Engineer
San Francisco, CA

Tokens-As-A-Service (Taas) Software Engineer

About the Role We are seeking a Tokens-as-a-Service (TaaS) Engineer to help build the systems that convert large-scale infrastructure capacity into measurable, reliable token throughput for OpenAI workloads. In this role, you will work across performance benchmarking, tokenomics, model porting, infrastructure integrati

Company
OpenAI
Compensation
$293K - $455K
Schedule
Full-Time
Role overview

What this role actually needs.

About the Role We are seeking a Tokens-as-a-Service (TaaS) Engineer to help build the systems that convert large-scale infrastructure capacity into measurable, reliable token throughput for OpenAI workloads. In this role, you will work across performance benchmarking, tokenomics, model porting, infrastructure integrati Responsibilities: - Develop systems and tooling to measure, monitor, and improve token throughput across first-party and partner-owned compute environments. - Support performance benchmarking, tokenomics analysis, and model porting across heterogeneous infrastructure environments. - Build tooling to integrate external or partner infrastructure into OpenAI’s internal compute, observability, and workload management systems. - Develop and monitor operational metrics including billing, usage, SLAs, utilization, reliability, and throughput. - Identify bottlenecks across hardware, networking, software, and workload enablement that prevent capacity from becoming productive tokens. - Partner with compute, infrastructure, networking, finance, and operations teams to translate raw capacity into usable workload-serving capacity. Requirements: - Strong software engineering background with experience building systems, tooling, automation, or infrastructure platforms. - Experience working across compute infrastructure, distributed systems, performance engineering, or production operations. - Ability to reason about token throughput, utilization, benchmarking, infrastructure efficiency, and workload performance. - Comfortable integrating external systems or partner environments into internal infrastructure stacks. - Strong analytical and debugging skills across hardware, networking, software, and operational domains. - Experience with GPU clusters, AI infrastructure, performance benchmarking, or workload optimization. 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 Tokens-As-A-Service (Taas) Software Engineer role.

  • Develop systems and tooling to measure, monitor, and improve token throughput across first-party and partner-owned compute environments.
  • Support performance benchmarking, tokenomics analysis, and model porting across heterogeneous infrastructure environments.
  • Build tooling to integrate external or partner infrastructure into OpenAI’s internal compute, observability, and workload management systems.
  • Develop and monitor operational metrics including billing, usage, SLAs, utilization, reliability, and throughput.
  • Identify bottlenecks across hardware, networking, software, and workload enablement that prevent capacity from becoming productive tokens.
  • Partner with compute, infrastructure, networking, finance, and operations teams to translate raw capacity into usable workload-serving capacity.
Requirements

What a strong candidate brings

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

  • Strong software engineering background with experience building systems, tooling, automation, or infrastructure platforms.
  • Experience working across compute infrastructure, distributed systems, performance engineering, or production operations.
  • Ability to reason about token throughput, utilization, benchmarking, infrastructure efficiency, and workload performance.
  • Comfortable integrating external systems or partner environments into internal infrastructure stacks.
  • Strong analytical and debugging skills across hardware, networking, software, and operational domains.
  • Experience with GPU clusters, AI infrastructure, performance benchmarking, or workload optimization.
UpJobz market context

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Tokens-As-A-Service (Taas) Software Engineer 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

$293K - $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.

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

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Next moves

  • Tailor your resume around ai and research instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to tokens-as-a-service (taas) software engineer is a high-signal hybrid role in san francisco, and it is most realistic for united states residents.
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Interview themes

Software EngineeringHybridairesearchawssecurity

Watchouts

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  • Show concrete examples of succeeding in hybrid environments.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

airesearchawssecurityplatformobservabilityapillmpythoninfrastructure
Next step

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Source: jobs.ashbyhq.com · Source ID: f3ddd41c-541f-485e-90d6-86c26e018e9f · Confidence: 97/100 · Last checked: May 7, 2026

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