Infrastructure and MLOps Engineer

📋 Job Overview

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

🏢 About Graphcore

Graphcore is a company that develops AI computing technology, specifically AI processors and software that enable AI applications to run more efficiently. We are part of the SoftBank Group and are focused on advancing the field of artificial intelligence through innovative hardware and software solutions.

🎯 The Role

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

✅ Key Responsibilities

• Develop, own, and maintain tools and services to support AI research and engineering teams
• Deploy and maintain services with Kubernetes and Docker
• Manage our Cloud Infrastructure using tools such as Terraform

📌 Required Qualifications

• Knowledge of Python
• Familiarity with cloud services (e.g. AWS)
• Experience managing or developing in Linux environments
• Understanding of CI/CD principles
• Experience using Kubernetes (k8s)
• Experience of one of the following:
  
  maintaining machine learning applications.
  
  deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot).
  
  managing ML accelerator hardware (e.g. DCGM).

⭐ Desirable Experience

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)
• Experience with GitHub Actions
• Experience with modern observability tooling (e.g. Prometheus)
• Experience with Grafana
• Knowledge of Go/Java/C++ (or similar language)

🎁 Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

🛂 Visa & Eligibility