About Graphcore

How often do you get the chance to build a technology that transforms the future of humanity?

Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business.

Graphcore recently joined SoftBank Group – bringing large and ongoing investment from one of the world’s leading backers of innovative AI companies.

Job Summary

We are looking for a Senior Engineer to join our Cloud Development Team. Working closely with our colleagues in Platform Engineering, Datacentre Operations and Product Development teams, you will help us provide services on our fleet of cutting-edge AI systems. As part of our Platform Engineering organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions. These include in-house AI systems alongside off-the-shelf high-performance servers, switches and storage solutions. This is a hands-on role requiring a solid background in infrastructure, cloud deployment using Infrastructure-as-Code, and high-performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud components.

The Platform Engineering team at Graphcore

We build Graphcore products into large-scale AI solutions for our customers and the Cloud Development Team is responsible for providing such systems to our internal users via private clouds. Often these internal systems will be using and developing pre-release hardware and software.

Responsibilities and Duties

• Work with the system architecture and engineering teams to develop complete cloud-ready AI solutions based on Graphcore’s next-generation AI products.
• Work with our Datacentre Operations Engineers to maintain the fleet of AI systems at peak performance in our private clouds.
• Operate and extend existing OpenStack cloud services and contribute to the deployment and development of new ones.
• Support internal end-users with application services on our private clouds.
• Configure and test new Graphcore AI hardware and systems using Infrastructure-as-Code as they are deployed in internal and external datacentres.
• Provide statistics for performance of internal systems and clear reporting of any issues. Work with users to provide clear information of any issues to Engineering and QA departments.
• Drive corrective actions for systems that are not operating correctly, working with DC operations, Engineering and datacentres as required.

Skills and Experience

The ideal candidate will be experienced within software engineering or IT, with a proven track record of delivering technical output as an individual contributor. Proven Linux scripting ability and system administration, as well as a hands-on understanding of the technologies underpinning cloud services, virtual networks, resource management and monitoring are essential. They will have experience or working knowledge of Infrastructure-as-Code automation and deployments, as well as container deployment and management using Docker, Podman or Kubernetes.

We are looking to find a candidate who brings experience with version control systems, monitoring and observability and Continuous Integration or testing pipelines and solutions. They should also have some knowledge of continuous system management concepts and tools.

Benefits