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

As a Lead Lab Support Engineer at Graphcore, you will serve as the technical lead providing IT support to Engineering Labs and Silicon development projects. This includes bring-ups and testing in hybrid Linux and Windows environments. You will deliver reliable, scalable, and high-quality services to internal customers, partners, and collaborators. You will also lead a small team of Lab Support Engineers and encourage a culture of accountability, collaboration, and continuous improvement. 

Working alongside Project Managers, engineering teams, and interested parties, you will build and deploy scalable workflows. You must ensure IT support for Engineering Labs keeps pace with the organisation’s evolving requirements. At first, this role requires direct involvement in daily support, configuration, and onboarding activities while forming the Lab Support team and setting up scalable processes.

The Team

You’ll be joining a multidisciplinary team with strong technical skills and a very encouraging 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

• Logging and solving support requests face-to-face & via ticketing system
• Ensure high-quality L1 & L2 support through effective triage, prioritization, and allocation of tickets
• Establish, manage, and consistently refine the Lab Support service, covering standards, processes, and governance
• Serve as the primary point of escalation and decision-making for IT service delivery
• Handling and providing support for Linux-based systems
• Handling and maintaining Windows-based systems
• Managing a fleet of servers, helping Hardware Lab teams with daily activities, tools and packages installation, platform configuration via Configuration Management systems
• Installing and troubleshooting servers, hardware maintenance, fault finding
• Detailing solutions and maintaining a clear, up-to-date internal knowledge base.

Essential

• Excellent communication and customer service skills
• Good understanding of troubleshooting principles and methodical problem-solving
• Strong Linux administration skills in Debian & RedHat derivatives
• Good Windows administration skills, Active Directory domain joining, policies
• Good networking skills such as VLANs, VPNs, Wi-Fi, routing, subnetting
• Familiarity with desktop and server hardware, BMCs, Out-of-Band networks, firmware & BIOS upgrades, PDU, rack mounts
• Managing Infrastructure-as-Code using Puppet, Ansible, or similar via Git
• Understanding of authentication services such as LDAP, Radius

Desirable

• Experience in managing web servers, load-balancers, reverse-proxies (e.g.: ha-proxy, nginx)
• Experience with identifying network/storage/CPU/RAM bottlenecks across complex workloads.
• Experience with various monitoring solutions and stack (e.g. Zabbix/Prometheus/Grafana Mimir/Open Telemetry)
• Proficiency with containerisation frameworks and orchestration (e.g.: Docker/containerd/Kubernetes).
• Python programming skills, with the ability to write code to interact with APIs, process data, and build small applications
• CI/CD pipelines via GitLab/GitHub

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.

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

In the role of Linux Engineer at Graphcore, you will be key to ensuring flawless operation of our systems and personnel. You will support core IT services and Linux environments daily, assisting colleagues with issue resolution efficiently. A strong focus on security and adherence to guidelines is essential. This is an outstanding chance to join a company breaking new ground in AI technology!

The Team

You’ll be joining a multidisciplinary team with outstanding technical skills and an encouraging culture. We collaborate closely, frequently exchanging knowledge, and your expertise will have a direct effect on our business. It's an exciting time to be part of Graphcore, with ambitious new projects ahead. If you’re eager to tackle interesting challenges and watch your work produce real-world outcomes, this is the team for you.

Responsibilities and Duties

• Logging and solving support requests face-to-face and via the ticketing system.
• Managing and supporting Linux-based systems, providing Layer 1 & 2 support.
• Security patching, including risk assessment for Linux environments.
• Collaborating with engineering teams to manage hybrid cloud and on-prem servers.
• Maintaining Infrastructure-as-Code specifications to deploy and automate changes.
• Handling key infrastructure services such as DNS, DHCP, VPN, and LDAP.
• Maintaining and supporting the virtualisation platform.
• Detailing solutions and maintaining a clear, up-to-date internal knowledge base.

Essential:

• Excellent communication and customer service skills.
• Strong understanding of troubleshooting principles and methodical problem-solving.
• Over 5 years of experience in System Administration concentrating on delivering essential infrastructure services and automation.
• Strong Linux administration skills in Debian & RedHat derivatives on bare metal and virtual machines.
• Good networking skills such as VLANs, VPNs, Wi-Fi, routing, and subnetting.
• Hands-on experience building and managing CI/CD pipelines (e.g., Jenkins, GitLab CI).
• Experience in handling Infrastructure-as-Code with Terraform, Puppet, Ansible, or equivalent tools.
• Managing Virtualisation Platforms like VMware ESXi/vSphere and KVM/libvirtd.

Desirable

• Experience with identifying network/storage/CPU/RAM bottlenecks across complex workloads.
• Familiarity with various monitoring solutions and stacks (e.g., Zabbix, Prometheus, Grafana Mimir, Open Telemetry).
• Experience handling web servers, load balancers, and reverse proxies (e.g., ha-proxy, nginx).
• Proficiency with containerisation frameworks and orchestration (e.g., Docker, containerd, Kubernetes).
• Python programming skills, with the ability to write code to interact with APIs, process data, and build small applications.

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.

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 looking for a dedicated Automation Engineer to join Graphcore Ltd. in Bristol, UK. This role offers an outstanding opportunity to build and scale automation capabilities across our modern platforms, starting with the Atlassian Cloud and extending to other innovative systems. You will play a key role in establishing a configuration-as-code model, advancing our automation efforts, and ensuring smooth operations through reliable workflows based on continuous integration and delivery.

The Team

You’ll be joining a world-class, multi-disciplinary team known for its strong technical prowess and encouraging culture. Our team collaborates closely, regularly shares knowledge, and your contributions will make a significant impact on our business. This is an ambitious and pivotal time for us, with numerous new projects on the horizon. If you're determined to tackle interesting challenges and see your work deliver real-world results, this is the team for you! 

Responsibilities and Duties

• Build and implement CI/CD pipelines to manage configuration changes with validations, approvals, and deployment stages
• Develop and maintain configuration-as-code workflows, ensuring all modifications are version-controlled, auditable, and repeatable
• Build and maintain automated systems for provisioning projects, workflows, permissions, and configurations
• Implement approval gates, policy checks, and validation logic within pipelines to enforce governance and compliance
• Connect CI/CD workflows with identity and access systems (e.g., Azure AD) to guarantee secure and auditable provisioning
• Develop automation using APIs and scripting to manage SaaS platforms, initially focusing on Atlassian
• Compose and build reusable automation frameworks and patterns that can be extended to other systems driven by APIs
• Collaborate with Atlassian Administrators to identify manual processes and transition them into automated workflows
• Work closely with the Lead Atlassian Platform Engineer to implement platform architecture, standards, and governance through code
• Develop tooling to enforce standards, prevent configuration drift, and improve consistency across environments
• Build automation and tooling through the use of relevant programming or scripting languages (e.g., Python, Go, PowerShell)
• Monitor and improve the performance, reliability, and scalability of automation workflows and pipelines
• Support audit and compliance requirements by ensuring all modifications are traceable and managed through pipelines
• Contribute to documentation, standards, and guidelines for automation and platform operations

Candidate Profile

Essential:

• Strong experience in DevOps, automation, or platform engineering roles
• Established expertise in developing and maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, CloudBees or equivalent)
• Experience building workflows for configuration, infrastructure, or SaaS platforms that follow a structured process
• Experience applying approval, validation, and governance controls within CI/CD pipelines
• Proficient programming or scripting abilities (e.g., Python, Go, PowerShell, or similar)
• Experience working with REST APIs and developing automation for systems that rely on APIs
• Experience managing source control systems (e.g., Git) as the definitive reference
• Knowledge of identity and access management principles
• Ability to compose and build scalable, maintainable automation solutions
• Strong problem-solving skills and ability to work in a distributed environment

Desirable:

• Experience interacting with Atlassian Cloud APIs (Jira, Confluence)
• Experience implementing configuration-as-code or GitOps-style approaches
• Familiarity with Azure AD or other identity providers
• Experience building internal platforms or automation frameworks
• Knowledge of governance, audit, and compliance requirements
• Experience extending automation patterns across multiple SaaS platforms

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.

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 looking for an intern to join our Platform Quality Assurance group. You will learn how to creatively exercise our product and provide feedback to the engineering delivery and product management teams. This helps them make decisions about engineering effort and the trajectory of the product. Working in either the component Quality Assurance team you will develop a close working relationship with the relevant development teams; or working in the integration Quality Assurance exercising the aggregated and composed system at a much larger scale with a bias towards informing the product management team. 

You will provide valuable observations and measurements of the product, looking beyond the natural focus of the delivery and product teams, painting a comprehensive behavioural picture of the product in typical and atypical scenarios. 

Responsibilities and Duties

• Supporting the execution of tests and reports optimised for the different decision-making readers including delivery engineering and the product management teams. 
• Supporting the organisation of a repository of results & collaboration with the QA team. 
• Developing or refining your skills in the domain area of the product component or the system in aggregate and at scale. 
• Specific domains include Workload Management (Kubernetes, Ray, and so on); Cloud Development; Management & Observability 

Skills and Experience 

Essential:

• Currently studying towards and Undergraduate/ Master’s Degree in Computer Science, or similar degree. 
• Strong relevant programming experience Python/Go/C++/infrastructure-as-code scripting or related to the domain. 
• Experience working in Linux environments. 
• Automation of building/testing with continuous integration systems. 
• Strong impartial report writing optimised for the reader. 
• Aptitude for planning, constructing, and executing responsibilities & duties above. 

Desirable:

• Domain experience of the products under test: Containerisation (e.g. Docker), Virtualisation and Provisioning, Workload and job scheduling (e.g. Kubernetes, Ray) on high core-count machines and rack-scale installations. 
• Experience in quality assurance/testing teams. 
• Experience with the Atlassian suite and CI/CD platforms such as Jenkins; GitHub or GitLab actions. 

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. 

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 decide whether entire racks of machines are good enough to enter production. Our team measures and evaluates large-scale Linux systems—from a single rack to data-centre scale. We don’t just run benchmarks; we determine whether a system behaves correctly, and whether it is reliable enough to be trusted.

The work spans designing workloads, building execution systems, and interpreting results. A measurement is only useful if it leads to a decision.

You won’t be confined to a narrow role. Some engineers here focus on infrastructure, others on workloads or analysis—but everyone contributes to understanding system behaviour at scale. You are free to specialise, but as a team we are responsible for leaving no gaps.

You might find yourself:

• Expanding measurement coverage from small clusters to full racks
• Designing workloads that expose system behaviour
• Building systems to run experiments across large clusters
• Interpreting results and defining what “good enough” looks like

This is not a pure infrastructure or data role. The work combines systems engineering, measurement, and judgement.

We’re looking for engineers who are comfortable working where the right answer isn’t obvious, and where careful measurement matters more than output volume.

Selection criteria:

Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important.

Essential

• Strong software engineering experience, typically gained across multiple projects or systems over several years
• Experience working in Linux-based environments, ideally with distributed or high-performance systems
• Proficiency in Python
• Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
• Ability to design, implement, and run experiments or tests that produce meaningful results
• Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
• Comfortable working in areas where requirements are not fully defined and judgement is required

Desirable

• Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
• Experience with performance, reliability, or systems-level testing/measurement
• Familiarity with pytest or similar frameworks for structured test/measurement execution
• Experience analysing system behaviour under load (compute, network, or ML workloads)
• Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
• Proficiency in other applications programming languages (e.g. C++)
• Exposure to data analysis, statistics, or interpreting variability in results
  

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. 

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 decide whether entire racks of machines are good enough to enter production. Our team measures and evaluates large-scale Linux systems—from a single rack to data-centre scale. We don’t just run benchmarks; we determine whether a system behaves correctly, and whether it is reliable enough to be trusted.

The work spans designing workloads, building execution systems, and interpreting results. A measurement is only useful if it leads to a decision.

You won’t be confined to a narrow role. Some engineers here focus on infrastructure, others on workloads or analysis—but everyone contributes to understanding system behaviour at scale. You are free to specialise, but as a team we are responsible for leaving no gaps.

You might find yourself:

• Expanding measurement coverage from small clusters to full racks
• Designing workloads that expose system behaviour
• Building systems to run experiments across large clusters
• Interpreting results and defining what “good enough” looks like

This is not a pure infrastructure or data role. The work combines systems engineering, measurement, and judgement.

We’re looking for engineers who are comfortable working where the right answer isn’t obvious, and where careful measurement matters more than output volume.

Selection criteria:

Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important.

Essential

• Strong software engineering experience, typically gained across multiple projects or systems over several years
• Experience working in Linux-based environments, ideally with distributed or high-performance systems
• Proficiency in Python
• Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
• Ability to design, implement, and run experiments or tests that produce meaningful results
• Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
• Comfortable working in areas where requirements are not fully defined and judgement is required

Desirable

• Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
• Experience with performance, reliability, or systems-level testing/measurement
• Familiarity with pytest or similar frameworks for structured test/measurement execution
• Experience analysing system behaviour under load (compute, network, or ML workloads)
• Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
• Proficiency in other applications programming languages (e.g. C++)
• Exposure to data analysis, statistics, or interpreting variability in results
  

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.

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 turn large-scale system measurements into decisions. Our team runs workloads across clusters of machines and collects detailed performance data. The challenge isn’t running the measurements—it’s deciding what they mean, and whether a system is good enough to enter production.

You will work with results from real systems and help answer questions like:

• Is this system behaving as expected?
• Is performance stable enough to trust?
• Does this meet the criteria to enter production?
  
  

This work includes systems engineering and analysis. It involves understanding variability, repeatability, and the differences between signal and noise.

You won’t be confined to a single role. You may shape measurements, influence how they are run, or improve how results are interpreted. You are free to specialise, but the team is responsible for leaving no gaps.

This is not a dashboarding or reporting role in the traditional sense. The goal is to produce outputs that support real engineering decisions.

We’re looking for engineers who:

• Think carefully about uncertainty and evidence
• Prefer clarity over presentation
• Are comfortable challenging conclusions when data is weak

Selection criteria:

Our engineers typically bring significant practical experience and sound engineering judgement.

Depth in one area is valued, but the ability to work across boundaries is equally important.

Essential

• Strong software engineering experience, typically gained across multiple projects or systems over several years
• Experience working in Linux-based environments, ideally with distributed or high-performance systems
• Proficiency in Python
• Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
• Ability to design, implement, and run experiments or tests that produce meaningful results
• Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
• Comfortable working in areas where requirements are not fully defined and judgement is required

Desirable

• Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
• Experience with performance, reliability, or systems-level testing/measurement
• Familiarity with pytest or similar frameworks for structured test/measurement execution
• Experience analysing system behaviour under load (compute, network, or ML workloads)
• Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
• Proficiency in other applications programming languages (e.g. C++)7. Exposure to data analysis, statistics, or interpreting variability in results

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.

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 turn large-scale system measurements into decisions. Our team runs workloads across clusters of machines and collects detailed performance data. The challenge isn’t running the measurements—it’s deciding what they mean, and whether a system is good enough to enter production.

You will work with results from real systems and help answer questions like:

• Is this system behaving as expected?
• Is performance stable enough to trust?
• Does this meet the criteria to enter production?
  
  

This work includes systems engineering and analysis. It involves understanding variability, repeatability, and the differences between signal and noise.

You won’t be confined to a single role. You may shape measurements, influence how they are run, or improve how results are interpreted. You are free to specialise, but the team is responsible for leaving no gaps.

This is not a dashboarding or reporting role in the traditional sense. The goal is to produce outputs that support real engineering decisions.

We’re looking for engineers who:

• Think carefully about uncertainty and evidence
• Prefer clarity over presentation
• Are comfortable challenging conclusions when data is weak

Selection criteria:

Our engineers typically bring significant practical experience and sound engineering judgement.

Depth in one area is valued, but the ability to work across boundaries is equally important.

Essential

• Strong software engineering experience, typically gained across multiple projects or systems over several years
• Experience working in Linux-based environments, ideally with distributed or high-performance systems
• Proficiency in Python
• Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
• Ability to design, implement, and run experiments or tests that produce meaningful results
• Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
• Comfortable working in areas where requirements are not fully defined and judgement is required

Desirable

• Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
• Experience with performance, reliability, or systems-level testing/measurement
• Familiarity with pytest or similar frameworks for structured test/measurement execution
• Experience analysing system behaviour under load (compute, network, or ML workloads)
• Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
• Proficiency in other applications programming languages (e.g. C++)7. Exposure to data analysis, statistics, or interpreting variability in results

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.

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 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. 
• Help to build automation to collect and analyse metrics and other data from the cloud services to support clear identification and reporting of any issues.  Work with users to provide information of any product-related issues to Engineering and QA departments. 
• 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. 
• Work with external vendors of off-the-shelf switches, servers and storage solutions to integrate 3rd party products into our Cloud Reference Design. 

Skills and Experience (all required) 

• Bachelor's degree or equivalent practical experience in a relevant subject. 
• Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. 
• Experience managing on-premises or private-cloud environments.  
• Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints.  
• Strong proven Linux scripting ability (bash, python, awk, sed). 
• Strong proven Linux system administration (Ubuntu, RHEL and variants). 
• Experience with a version control system (preferably Git) 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). 
• Experience with container deployment and management tools (e.g. docker). 
• Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.  
• 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 platforms. 
• Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. 
• Experience with managing production Kubernetes clusters and workloads.  
• 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.

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 Linux scripting ability (bash, python, awk, sed). 
• Strong proven Linux system administration (Ubuntu, RHEL and variants). 
• Experience with a version control system (preferably Git) 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 platforms. 
• 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.

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 Network 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 onour 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 networkingand 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 high-performance ethernet infrastructure on our private clouds and support internal users in their use. You will turn end-user and product requirements into deployed services. 

• Help to build automation to collect and analyse metrics and other data from the network infrastructure to support clear identification and reporting of any issues.  Work with users to provide information of any product-related issues to Engineering and QA departments. 

• Work with our Datacentre Operations Engineers to maintain, tune and operate the fleet of AI systems at peak performance in our private clouds. 
• Work with external vendors of off-the-shelf switches, servers and storage solutions to integrate 3rd party products into our Cloud Reference Design, with a focus on network performance, automation and resilience. 

Skills and Experience (all required) 

• Bachelor's degree or equivalent practical experience in a relevant subject. 
• Significant hands-on experience with 1 or more vendor’s high-end (100Gb/s+) ethernet switch solutions. 
• Experience managing on-premises or private-cloud environments.  
• 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 Linux scripting ability (bash, python, awk, sed). 
• Strong proven Linux system administration (Ubuntu, RHEL and variants). 
• Experience with a version control system (preferably Git) 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) and how they relate to high-performance networking. 
• Experience with IAC automation tools (Terraform/OpenTofu, Ansible). 
• Experience with container deployment and management tools (e.g. docker). 
• Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.  
• 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 platforms. 
• Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. 
• Experience with hardware offloading on RDMA-capable NICs and how that integrates with virtual networking on Open V-switch, KVM/QEMU. 
• Experience with managing production Kubernetes clusters and workloads with an automation tool such as ArgoCD. 

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.