Compute Infrastructure Engineer – Build Large-Scale AI

OpenAI, Inc.; City Of London; Presencial; GBP 150.000 - 210.000; Jornada completa

Descripción de la vacante

OpenAI is hiring for Compute Infrastructure engineers to build the platform behind OpenAI's research and products. You will work on large-scale compute systems spanning accelerators, CPUs, GPUs, storage, networking, and orchestration to deliver reliable, scalable infrastructure for frontier AI workloads.

The role emphasizes strong engineering judgment and the ability to operate across software, hardware, and systems layers.

Formación

• Strong software engineering skills and experience building, operating, or improving production infrastructure systems.
• Experience in one or more relevant areas such as 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

Responsabilidades

• 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
• Turn operational lessons into better systems, stronger abstractions, and clearer ownership boundaries across teams
• Collaborate across research, engineering, security, networking, hardware, and data center teams to make compute capacity more capable and easier to use

Conocimientos

Distributed systems engineering

High-performance computing

Kubernetes

Observability

Herramientas

Kubernetes

RDMA

NCCL

GPU hardware

Descripción del empleo

OpenAI is hiring for Compute Infrastructure engineers to build the platform behind OpenAI's research and products. You will work on large-scale compute systems spanning accelerators, CPUs, GPUs, storage, networking, and orchestration to deliver reliable, scalable infrastructure for frontier AI workloads.

The role emphasizes strong engineering judgment and the ability to operate across software, hardware, and systems layers.