Infrastructure and MLOps Engineer
Not sure if you're a good fit?
Upload your resume and TixelJobs AI will compare it against Infrastructure and MLOps Engineer at Graphcore. Get a match score, missing keywords, and improvement tips before you apply.
Free preview · Your resume stays private
About the Role
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
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
Ready to apply?
This job is active. Apply now to get in early.