OpenAI

3 months ago

Tokens-as-a-Service (Taas) Software Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Join OpenAI as a TaaS Engineer building systems that convert large-scale infrastructure into measurable token throughput for OpenAI workloads. You’ll work on performance benchmarking, tokenomics, model porting, infrastructure integration, observability, and workload management, connecting partner and first-party compute environments to onboard, measure, and optimize GPU capacity for real workload outcomes.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key 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.

Pay and Benefits

Salary: USD 293,000 - 455,000 annually

Equity and Bonus:Equity

Key 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:AI infrastructureGPU clustersDistributed systems

Skills:Analytical thinkingProblem-solvingCollaborationCommunication

Tech Stack:GPUDistributed systemsObservabilityInfrastructureMonitoringAutomation

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

Tokens-as-a-Service (Taas) Software Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key 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.

Pay and Benefits

Salary: USD 293,000 - 455,000 annually

Equity and Bonus:Equity

Key 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:AI infrastructureGPU clustersDistributed systems

Skills:Analytical thinkingProblem-solvingCollaborationCommunication

Tech Stack:GPUDistributed systemsObservabilityInfrastructureMonitoringAutomation

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