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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, GPU Infrastructure - HPC - **Company:** OpenAI Inc. - **Location:** New York, NY, United States - **Salary:** $230,000.0 - **Contract:** Permanent contract - **Skills:** Build Automation, Intelligent Platform Management Interface, Data Centers, Linux, Distributed Systems, IBM Hardware Management Console, Monitoring of Systems, InfiniBand, Python (Programming Language), PCI Express, Prometheus, SQL Databases, Supercomputing, Graphics Processing Unit (GPU), High Performance Computing, System Availability, Grafana, Pandas, Hardware Infrastructure, GPT - **Published:** August 22, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18036443?backUrl=%2Fcareer%2F18036443%2FSoftware-Engineer-Gpu-Infrastructure-Hpc-New-York-New-York ## About the Role * Experience managing large-scale server environments. * A balance of strengths in building and operationalizing. * Proficiency in Python, Go, or similar languages. * Strong Linux, networking, and server hardware knowledge. * Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool. Prior hardware expertise is not required for this role. Bonus Skills: * Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning) * Knowledge of hardware management protocols (e.g., IPMI, Redfish). * High-performance computing (HPC) or distributed systems experience. * Prior experience developing, managing, or designing hardware. * Familiarity with monitoring tools (e.g., Prometheus, Grafana). ## Description The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI's models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth., As a software engineer on the Fleet High Performance Computing (HPC) team, you will be responsible for the reliability and uptime of all of OpenAI's compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise. Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: * Build and maintain automation systems for provisioning and managing server fleets. * Develop tools to monitor server health, performance, and lifecycle events. * Collaborate with clusters, networking, and infrastructure teams. * Partner with external operators to ensure a high level of quality. * Identify and fix performance bottlenecks and inefficiencies. * Continuously improve automation to reduce manual work. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023)