OpenAI

3 months ago

Software Engineer, Compute Infrastructure

✓ 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

Design and build the compute platform behind OpenAI’s research and products. Work across low-level systems, high-performance computing, distributed infrastructure, and tools to improve reliability, scalability, and developer experience for enormous compute workloads.

Location: San Francisco, New York, Seattle, London

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and deeply optimize reliable system software for large-scale compute systems that run some of the world's most demanding AI workloads.
•Design and operate infrastructure across accelerators, CPUs, NICs, switches, networking protocols, storage, data centers, cluster orchestration, scheduling, and fleet health.
•Profile, benchmark, and optimize training workloads across compute, memory, storage, networking, NCCL and collective communication, and cluster scheduling bottlenecks.
•Create hardware-aware automation that makes provisioning, firmware and driver upgrades, incident response, and day-to-day operations faster and less error-prone.
•Build CaaS, agent infrastructure, profiling, observability, benchmarking, and platform tools that help researchers, product engineers, and operators launch, debug, and optimize workloads with less friction.

Pay and Benefits

Salary: USD 230,000 - 405,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Strong software engineering skills and experience building, operating, or improving production infrastructure systems.
•Experience in distributed systems, operating systems, networking protocols, RDMA, NCCL or collective communication, storage, Kubernetes, scheduling, observability, reliability engineering, high-performance computing, GPU infrastructure, CaaS, agent infrastructure, hardware-aware performance optimization, benchmarking, developer experience, or infrastructure tooling.
•Ability to debug complex system behavior across software, hardware, networking, and workload layers, then turn findings into robust improvements.
•Comfort with ambiguity, strong ownership, and a bias toward practical, durable solutions.
•Interest in working on infrastructure that directly enables frontier AI research and product impact.

Experience:AIComputingInfrastructureDistributed systems

Skills:KubernetesNCCLRDMAGPUProfilingBenchmarkingObservabilityInfrastructure toolingDeveloper experience

Tech Stack:KubernetesNCCLRDMAGPUCaaSAgent infrastructureProfilingBenchmarksObservability

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

Software Engineer, Compute Infrastructure

✓ 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, New York, Seattle, London

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and deeply optimize reliable system software for large-scale compute systems that run some of the world's most demanding AI workloads.
•Design and operate infrastructure across accelerators, CPUs, NICs, switches, networking protocols, storage, data centers, cluster orchestration, scheduling, and fleet health.
•Profile, benchmark, and optimize training workloads across compute, memory, storage, networking, NCCL and collective communication, and cluster scheduling bottlenecks.
•Create hardware-aware automation that makes provisioning, firmware and driver upgrades, incident response, and day-to-day operations faster and less error-prone.
•Build CaaS, agent infrastructure, profiling, observability, benchmarking, and platform tools that help researchers, product engineers, and operators launch, debug, and optimize workloads with less friction.

Pay and Benefits

Salary: USD 230,000 - 405,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Strong software engineering skills and experience building, operating, or improving production infrastructure systems.
•Experience in distributed systems, operating systems, networking protocols, RDMA, NCCL or collective communication, storage, Kubernetes, scheduling, observability, reliability engineering, high-performance computing, GPU infrastructure, CaaS, agent infrastructure, hardware-aware performance optimization, benchmarking, developer experience, or infrastructure tooling.
•Ability to debug complex system behavior across software, hardware, networking, and workload layers, then turn findings into robust improvements.
•Comfort with ambiguity, strong ownership, and a bias toward practical, durable solutions.
•Interest in working on infrastructure that directly enables frontier AI research and product impact.

Experience:AIComputingInfrastructureDistributed systems

Skills:KubernetesNCCLRDMAGPUProfilingBenchmarkingObservabilityInfrastructure toolingDeveloper experience

Tech Stack:KubernetesNCCLRDMAGPUCaaSAgent infrastructureProfilingBenchmarksObservability

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