Senior Storage 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

We are seeking a Storage Engineer to be responsible for the architecture, performance, and management of the storage solutions that power our demanding EDA and HPC workloads. You will be the expert on all things storage, from high-performance parallel file systems to object storage and backup/recovery and corporate storage solutions. Your primary goal is to provide a resilient, scalable, and cost-effective storage platform that meets the requirements of our chip design and software development workflows.

The Team

You’ll be joining a multidisciplinary team with strong technical skills and a very supportive culture. We work closely together and regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you’re looking to solve interesting problems and see your work deliver real-world results, this is the team for you.

Responsibilities and Duties

Manage and maintain on-premises storage platforms, including Linux-based NFS systems (e.g., ZFS) and enterprise storage arrays such as NetApp or Pure for both Corporate and Engineering workloads.

Manage backup and recovery systems (e.g., Rubrik, Cohesity), ensuring reliable data protection, retention, and tested restore processes.

Deploy and optimise scale-out or high-performance storage technologies such as Ceph, Lustre, GPFS, or WEKA to support EDA and HPC workloads.

Automate storage configuration, provisioning, and operational workflows.

Experience of managing storage in cloud environments such as AWS for engineering or backup purposes

Capacity planning, performance tuning, monitoring, incident response, and ongoing lifecycle management of storage services. Work with vendors on hardware evaluation, procurement, updates, and support cases.

Candidate Profile

Essential:

PythonAwsTerraformGit