About the Position

Infrastructure and MLOps Engineer

Bristol, UK

About Graphcore

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.

Job Summary

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 productization processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible.

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

Requirements

Essential:

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 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)

We Offer

In addition to a competitive salary, Graphcore offers:

Flexible working
Generous annual leave policy
Private medical insurance and health cash plan
Dental plan
Pension (matched up to 5%)
Life assurance and income protection
Generous parental leave policy
Employee assistance programme (includes health, mental wellbeing, and bereavement support)
Range of healthy food and snacks at our central Bristol office
On-site 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.

About the Company

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.

Infrastructure and MLOps Engineer

Job description