Senior Systems Engineer Performance & Reliability

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  Platform Team and help develop and deploy clouds and services . Working closely with our colleagues in  Software  Platform, Datacentre Operations and Product Development teams, you will  deploy services on our fleet of  cutting-edge AI systems. As part of our  Software  Platform 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 hand-on  technical  role   requiring a solid background in  the use of cloud  infrastructure, deployment using Infrastructure-as-Code,  observability,  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  services .  

The Software Platform team at Graphcore  

We build  Graphcore products into large-scale AI solutions for our customers and the Cloud  Platform Team  is responsible for providing such systems  to both internal users via private clouds and customers via our own public clouds . Often the internal systems will be using and developing pre-release hardware and software , so  it’s vital you are comfortable with unproven components.  

Responsibilities and Duties

• Develop  and  operate   Kubernetes-managed  end-user services on our private clouds and support internal users in their use.   You will turn   end-user and product requirements into deployed services.  


• Work with our Datacentre Operations Engineers to  maintain and operate the fleet of AI systems at peak performance in our private clouds.  


• Configure and test new  Graphcore AI hardware and systems  using Continuous Deployment and Infrastructure-as-code in  internal   and   external datacentres.  

Skills and Experience (all required)  

• Bachelor's degree or equivalent practical experience in a relevant subject.  


• Experience with  managing production  Kubernetes  clusters and workloads with a continuous delivery  tool such as  ArgoCD .  


• Solid software engineering or IT experience with a proven  track record of delivering technical output as an individual contributor.  


• Experience  working in an AGILE  and SCRUM  framework , including  understanding of  priorities, risks, issues,  impacts and constraints .   


• Strong proven L inux scripting ability (bash, python, awk,  sed ).  


• Strong proven Linux system administration ( U buntu, RHEL and variants).  


• Experience with a version control system (preferably G it )and using it to manage system configuration or automation.  


• Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar.  


• A solid hands-on understanding of the technologies underpinning cloud services ( APIs,  virtualisation of CPUs, IO, systems), virtual networks, block storage, resource  management and monitoring.  


• Experience with  IAC  automation tools ( Terraform/ OpenTofu , Ansible , Packer ).  


• Good communication and presentation skills , and experience dealing with end-users of IT services.  


• An ability to work independently on critical infrastructure  with minimal oversight , and with a focus on end-user availability .  

 
Desirable but not required:  

• Experience with  Openstack cloud platform s.  


• Experience with solutions for monitoring and observability. e.g.  Grafana ,  Prometheus , OpenSearch/ ElasticSearch , Loki.  


• Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.  


• Programming  experience  with Python3 utilising classes and inheritance.  

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own 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.

Sponsorship

Applicants for this position 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.