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Infrastructure and MLOps Engineer

Graphcore·Salary not specified

Primary stack

KubernetesPythonLinuxCI/CD

Nice to have's

TerraformGitHub Actionsobservability toolingGo/Java/C++

Job description

About the Position

Infrastructure and MLOps Engineer

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

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 are dedicated to creating the future of AI compute. Our team of experts in semiconductor, software, and AI work together to build the complete AI compute stack, from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, we are backed by significant long-term investment and are delivering key technology into the fast-growing SoftBank AI ecosystem.

© Graphcore. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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Graphcore

Artificial Intelligence

About the Company Graphcore is a leading innovator in Artificial Intelligence compute, developing hardware, software, and systems infrastructure to unlock the next generation of AI breakthroughs and power widespread adoption. Products, Services & Tech Stack Core Solutions: Hardware, software, and systems infrastructure for AI. Project Scope & Target Clients Client Base: Innovators creating the next breakthroughs in artificial intelligence. Engineering Scale: Scope and complexity of engineering projects are not specified.

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