Graphcore
Infrastructure and MLOps Engineer
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Infrastructure and MLOps Engineer
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.
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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 and Duties
- 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
Candidate Profile
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 with one of the following:
- Maintaining machine learning applications
- Deploying ML orchestration tools (e.g. NVIDIA Ray, KFP, SkyPilot)
- Managing ML accelerator hardware (e.g. DCGM)
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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)
Benefits
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 (covering health, mental wellbeing, and bereavement support)
- A range of healthy food and snacks at our central Bristol office, along with an in-house barista bar
- An inclusive work environment supporting diverse backgrounds and experiences
We are committed to building a great home for everyone and offer an equal opportunity process understanding the importance of reasonable adjustments during interviews. Applicants must hold the right to work in the UK.
Unfortunately, at this time we are unable to provide visa sponsorship or support for visa applications.
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