OpenAI

2 weeks ago

Software Engineer, GPU Infrastructure- ChatGPT Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Design and operate software that manages large-scale GPU clusters powering ChatGPT inference. Build internal platforms, tooling, and AI-powered agents to automate fleet operations, reduce overhead, and improve developer productivity. Drive reliability and observability across thousands of GPUs by building systems for capacity planning, scheduling, fleet health monitoring, and incident response. Collaborate closely with research, platform, networking, and systems teams to improve compute utilization at the frontier of AI.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and operate software that manages large-scale GPU infrastructure supporting ChatGPT inference.
•Build internal platforms, tooling, and AI-powered agents to automate fleet operations and reduce operational overhead.
•Improve observability, reliability, and operational efficiency across thousands of GPUs.
•Develop systems for capacity planning, scheduling, fleet health monitoring, and incident response.
•Partner with infrastructure, research, platform, networking, and systems teams to continuously improve the compute platform and establish operational best practices.

Key Requirements

•5+ years of software engineering experience building production infrastructure.
•Strong programming skills in Go, Python, C++, Rust, or similar systems languages.
•Experience designing and operating highly available distributed systems.
•Experience with GPU infrastructure, high-performance computing, ML infrastructure, or large-scale compute platforms.
•Experience with Kubernetes, cloud infrastructure, Linux, networking, and observability tooling.

Experience:5+ yearsAI infrastructureGPU infrastructureHigh-performance computingML infrastructureDistributed systems

Skills:DebuggingSystems designOperational problem-solvingCommunicationCross-team collaboration

Tech Stack:GoPythonC++RustKubernetesLinuxContainer orchestrationCloud infrastructureNetworkingObservability toolingGPU clustersDistributed infrastructureCapacity planningIncident response

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

2 weeks ago

Software Engineer, GPU Infrastructure- ChatGPT Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and operate software that manages large-scale GPU infrastructure supporting ChatGPT inference.
•Build internal platforms, tooling, and AI-powered agents to automate fleet operations and reduce operational overhead.
•Improve observability, reliability, and operational efficiency across thousands of GPUs.
•Develop systems for capacity planning, scheduling, fleet health monitoring, and incident response.
•Partner with infrastructure, research, platform, networking, and systems teams to continuously improve the compute platform and establish operational best practices.

Key Requirements

•5+ years of software engineering experience building production infrastructure.
•Strong programming skills in Go, Python, C++, Rust, or similar systems languages.
•Experience designing and operating highly available distributed systems.
•Experience with GPU infrastructure, high-performance computing, ML infrastructure, or large-scale compute platforms.
•Experience with Kubernetes, cloud infrastructure, Linux, networking, and observability tooling.

Experience:5+ yearsAI infrastructureGPU infrastructureHigh-performance computingML infrastructureDistributed systems

Skills:DebuggingSystems designOperational problem-solvingCommunicationCross-team collaboration

Tech Stack:GoPythonC++RustKubernetesLinuxContainer orchestrationCloud infrastructureNetworkingObservability toolingGPU clustersDistributed infrastructureCapacity planningIncident response

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