Skip to content
OpenAIOpenAISan Francisco, CA

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

Builds systems and tooling to measure, monitor, and optimize token throughput from GPU infrastructure for OpenAI workloads. Integrates partner compute environments, benchmarks performance, analyzes tokenomics, and develops operational metrics and dashboards. Requires strong distributed systems and infrastructure engineering experience.

293k – 455k/yr
HybridDevOps / SRE

About the role

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.
  • 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.

Qualifications

  • 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.

Skills

Distributed SystemsGpu ClustersPerformance BenchmarkingObservabilityKubernetesAI InfrastructureMonitoring SystemsDashboardsAutomationInfrastructure Integration

Similar roles

DevOps / SRE jobs
OpenAI

SW Engineer, Hardware and System Bring-up/Bootstrapping - Industrial Compute, Scaling

OpenAISeattle, WA

Engineers handle hardware and system bring-up for industrial compute, bootstrapping bare metal nodes into schedulable Kubernetes fleet capacity. Requires 5+ years in Linux infrastructure, IaC tools like Terraform/Chef, and debugging boot/provisioning issues.

293k – 455k/yr
On-site5+ YOEDevOps / SRE
OpenAI

Release Engineer, Consumer Products

OpenAISan Francisco, CA

Designs and operates CI/CD pipelines and release infrastructure for multi-component systems including bootloaders, firmware, and OTA updates. Requires strong automation skills in Python/Bash, Linux expertise, and experience with build systems for embedded/consumer products.

293k – 325k/yr
HybridDevOps / SRE
OpenAI

Performance & Systems Engineer, Codex

OpenAISan Francisco, CA

Optimizes performance across Codex AI system's stack including LLM inference, cloud orchestration, and agent behavior to reduce latency and costs. Collaborates with researchers and engineers on high-impact improvements in a high-ownership role.

295k – 445k/yr
HybridDevOps / SRE
Anthropic

Incident Response Manager - Product & Engineering

AnthropicNew York, NY +2

Leads incident response operations for product and engineering, serving as on-call commander to coordinate cross-functional teams, manage communications, and improve processes during high-stakes incidents. Requires 5+ years in incident management with technical depth in infrastructure and cloud systems.

290k – 365k/yr
Hybrid5+ YOEDevOps / SRE
Anthropic

Performance Engineer

AnthropicSan Francisco, CA +2

Performance Engineer optimizes throughput and robustness of large-scale ML distributed systems by solving novel performance issues. Requires significant software engineering experience at supercomputing scale and interest in ML.

280k – 850k/yr
HybridDevOps / SRE