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 integration, systems tooling, and operational monitoring. You will help connect partner and first-party compute environments into OpenAI's infrastructure stack, ensuring GPU capacity can be onboarded, measured, monitored, and optimized against real workload outcomes.

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.
• Build dashboards, automation, and reporting systems that provide clear visibility into TaaS capacity, performance, and business outcomes.

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.
• Preferred Skills
• Experience with GPU clusters, AI infrastructure, performance benchmarking, or workload optimization.
• Familiarity with model porting, inference/training workloads, token economics, or compute efficiency analysis.
• Experience building monitoring systems for billing, usage, SLAs, utilization, or infrastructure reliability.
• Background in systems engineering, infrastructure software, observability, distributed systems, or platform engineering.
• About OpenAI
• We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
• For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement .
• To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance.
• We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link .
• OpenAI Global Applicant Privacy Policy
• At OpenAI, we believe artificial intelligence has the potential to help

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