Qureos Mentor

Graphcore

<div>About the job

Start your firmware career working on the code that brings AI hardware to life. As a 2026 Graduate Firmware Engineer, you will help develop the low-level software that starts, monitors and supports Graphcore products.

You will learn how firmware connects silicon, hardware, drivers and datacentre systems. Your work will help our products boot correctly, communicate clearly and run reliably.

You will contribute to code, tests, reviews and technical discussions with firmware, drivers, hardware and partner teams. You will build practical skills in C, Python, embedded systems, debugging, build systems and continuous integration.

You do not need to arrive as an expert. We are looking for graduates who want to learn deeply, solve hard problems and grow into confident firmware engineers. 


The Team &amp; culture

The Firmware team writes the software that enables Graphcore hardware and silicon to boot, communicate and operate reliably. The team works closely with drivers, hardware, silicon and partner teams.

Work happens through agile planning, code reviews, design discussions and hands-on debugging. You will own well-scoped tasks, get clear feedback and build confidence through real product work.

Decisions are made through evidence, practical trade-offs and open technical discussion. Graduates are encouraged to ask questions, share ideas and improve how the team works. 


What we're looking for
<ul>
<li>Bachelor's or master's degree in computer science, Maths, Machine Learning, Data Science, or a related field</li>
<li>Introductory experience with C or Python, gained through study, projects, internships, hobbies or work experience</li>
<li>Understanding of continuous integration, build systems or software packaging fundamentals</li>
<li>Interest in embedded software, hardware bring-up, device drivers, operating systems or server platforms</li>
<li>Ability to learn through debugging, code reviews, technical feedback and practical problem solving</li>
<li>Curiosity, ownership and motivation to start your career close to hardware and AI compute</li></ul> 


Benefits
<ul>
<li>Flexible working: Balance your work and personal life with greater flexibility</li>
<li>Generous leave: Take time to rest, recharge and enjoy life outside of work</li>
<li>Retirement planning support: Up to 5% matched pension
</li><li>Phantom equity: Share in Graphcore's success
</li><li>Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day</li>
<li>Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones</li>
<li>Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover</li>
<li>Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn</li></ul> 


Sponsorship

Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.

Inclusion statement

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. 


Join the team at Graphcore

Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies.

Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

Join Graphcore's Graduate Firmware Engineering Programme and start building the skills, confidence, and experience to turn your learning into real impact. Apply now.</div>

2026 Graduate Firmware Engineer

<div>About the job

Build the software that helps machine learning developers get more from Graphcore hardware. As a Graduate Software Engineer in our Triton team, you will help connect Graphcore accelerators with the ML frameworks developers use every day.

Your work will make our software easier to use, more reliable and more performant for real AI workloads. You will learn how compilers, frameworks and hardware interact in a production engineering setting.

You will contribute to features, tests, documentation, code reviews and performance improvements across a complex codebase. You will be supported by experienced engineers while taking ownership of meaningful work early.

This role suits a curious graduate who wants to grow deep technical skills and see their code make a practical difference. 


The Team &amp; Culture

The Frameworks team makes Graphcore hardware work smoothly with tools such as PyTorch, Triton, JAX and TensorFlow. The team sits close to compilers, runtime software and hardware, so you will learn from different technical perspectives.

Work is organised through SCRUM, with clear priorities, regular feedback and shared accountability. You will own well-scoped tasks, ask questions early and build confidence through reviews, testing and documentation.

Decisions are shaped by technical evidence, user impact and open discussion. Engineers are expected to speak up, challenge assumptions and improve how the team works. 


What we're looking for
<ul>
<li>Bachelor's or master's degree in computer science, Maths, Machine Learning, Data Science, or a related field.</li>
<li>Hands-on experience with Python or C++, gained through study, projects, placements, internships or open source.</li>
<li>Practical experience or strong academic understanding of compiler development 
Interest in AI, machine learning frameworks, high performance software or computing architectures.</li>
<li>Ability to write clear, maintainable code, tests and documentation</li>
<li>Curiosity, ownership and willingness to learn through feedback, code reviews and technical discussion.</li></ul> 


Benefits
<ul>
<li>Flexible working:Balance your work and personal life with greater flexibility</li>
<li>Generous leave:Take time to rest, recharge and enjoy life outside of work</li>
<li>Retirement planning support: Up to 5% matched pension</li>
<li>Phantom equity:Share in Graphcore's success
</li><li>Workplace experience:Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day</li>
<li>Peace of mind protection:Income protection and life assurance to provide financial security for you and your loved ones</li>
<li>Flexible benefits:Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover</li>
<li>Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn</li></ul> 


Sponsorship

Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. 


Inclusion statement

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. 


Join the team at Graphcore

Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

Join Graphcore's Graduate Triton Software Engineering Programme and start building the skills, confidence, and experience to turn your learning into real impact. Apply now.</div>

2026 Graduate Software Engineer - Triton

<div>About the job

Start your IT infrastructure career supporting the systems behind sophisticated AI engineering. As a 2026 Graduate IT Infrastructure Engineer, you will help keep Graphcore's engineering teams connected, productive and secure.

You will discover how enterprise infrastructure supports AI compute, from servers, storage and networking to cloud platforms, automation and monitoring. Your work will help improve the reliability, performance and security of systems used across the business.

You will support infrastructure operations, investigate technical issues and contribute to improvement projects. You will build practical skills in Linux, Windows, networking, cloud, scripting and infrastructure as code.

You do not need to arrive as an authority. We are looking for graduates with strong fundamentals, curiosity and the drive to learn by solving real problems. 


The Team &amp; Culture

The Infrastructure Solutions team designs, builds and supports the IT environments that help Graphcore engineers work at scale. The team works across on-premise infrastructure, cloud platforms, networking, automation and security.

Work happens through hands-on solving, planned projects, technical discussion and steady ownership of well-scoped tasks. You will learn from expert engineers while taking ownership for useful work early.

Decisions are made through evidence, service impact and practical trade-offs. Graduates are encouraged to ask questions, speak up and suggest better ways of working. 


What we're looking for
<ul>
<li>Bachelor's or master's degree in computer science, Maths, Machine Learning, Data Science, or a related field</li>
<li>Interest in infrastructure, cloud technologies, systems engineering or platform operations</li>
<li>Familiarity with Linux or Windows server environments, gained through study, projects, internships or hobbies</li>
<li>Understanding of networking fundamentals such as TCP/IP, DNS, routing or firewalls</li>
<li>Introductory scripting experience with Python, Bash or PowerShell</li>
<li>Analytical thinking, clear communication and motivation to learn through practical problem solving</li></ul> 


Benefits
<ul>
<li>Flexible working:Balance your work and personal life with greater flexibility</li>
<li>Generous leave:Take time to rest, recharge and enjoy life outside of work</li>
<li>Retirement planning support: Up to 5% matched pension</li>
<li>Phantom equity:Share in Graphcore's success
</li><li>Workplace experience:Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day</li>
<li>Peace of mind protection:Income protection and life assurance to provide financial security for you and your loved ones</li>
<li>Flexible benefits:Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover</li>
<li>Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn</li></ul> 


Sponsorship

Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. 


Inclusion statement

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. 


Join the team at Graphcore

Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

Join Graphcore's Graduate IT Infrastructure Engineer Programme and start building the skills, confidence, and experience to turn your learning into real impact. Apply now.</div>

2026 Graduate IT Infrastructure Engineer

<div>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 experiences Staff 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 
<ul>
<li>Operate and extend existing OpenStack-based cloud services and contribute to the deployment and development of new ones.</li>
<li>Develop and operate end-user services on our clouds and support internal users in their use. You will turn end-user and product requirements into deployed services.</li>
<li>Help to build automation to collect and analyse metrics and other observability 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.</li>
<li>Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds.</li>
<li>Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres.</li>
<li>Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required.</li>
<li>Work with external vendors of off-the-shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design.</li></ul> 


Skills and Experience [ALL REQUIRED]
<ul>
<li>Bachelor's degree or equivalent practical experience in a relevant subject.</li>
</ul><ul><li>Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor.</li>
</ul><ul><li>Experience managing or operating on-premises or private-cloud environments.</li>
</ul><ul><li>Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints.</li>
</ul><ul><li>Strong proven Linux scripting ability (bash and python required).</li>
</ul><ul><li>Strong proven Linux system administration (Ubuntu, RHEL and variants).</li>
</ul><ul><li>Experience with a version control system (preferably Git) and using it to manage system configuration or automation.</li>
</ul><ul><li>Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar.</li>
</ul><ul><li>Hands-on experience deploying services into public or private clouds using Infrastructure-as-Code (IAC).</li>
</ul><ul><li>A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring.</li>
</ul><ul><li>Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer).</li>
</ul><ul><li>Experience with container deployment and management tools (e.g. docker, podman, apptainer).</li>
</ul><ul><li>Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd ,Kafka</li>
</ul><ul><li>Good communication and presentation skills, and experience dealing with end-users of IT or cloud services.</li>
</ul><ul><li>An ability to work independently on critical infrastructure without oversight, and with a focus on end-user availability.</li></ul> 


Desirable but not required:
<ul>
<li>Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU ).</li>
</ul><ul><li>Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.</li>
</ul><ul><li>Strong skillset and experience in end-to-end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild.</li>
</ul><ul><li>Experience with managing production Kubernetes clusters and workloads.</li>
</ul><ul><li>Experience with workload queue management systems (SLURM, LSF, Kueue).</li>
</ul><ul><li>Experience with managed switch configuration (e.g. EOS, SONiC, DNOS).</li>
</ul><ul><li>Programming experience with Python3 utilising classes and inheritance.</li>
</ul><ul><li>Programming experience with Go.</li></ul> 


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.</div>

Staff Engineer

<div>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 experienced Principal 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
<ul>
<li>Operate and extend existing OpenStack-based cloud services and contribute to the deployment and development of new ones.</li>
<li>You will be responsible for significant technical initiatives and projects, mentoring a small team of more junior engineers in best engineering practices.</li>
<li>Develop and operate end-user services on our clouds and support internal users in their use. You will turn end-user and product requirements into deployed services.</li>
<li>Help to build automation to collect and analyse metrics and other observability 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.</li>
<li>Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds.</li>
<li>Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres.</li>
<li>Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required.</li>
<li>Work with external vendors of off-the-shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design.</li></ul> 


Skills and Experience [ALL REQUIRED]
<ul>
<li>Bachelor's degree or equivalent practical experience in a relevant subject.</li>
<li>Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor.</li>
<li>Experience managing or operating on-premises or private-cloud environments.</li>
<li>Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints.</li>
<li>Expert-level, proven Linux scripting ability (bash and python required).</li>
<li>Expert-level, proven Linux system administration (Ubuntu, RHEL and variants).</li>
<li>Experience with a version control system (preferably Git) and using it to manage system configuration or automation.</li>
<li>Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar.</li>
<li>Hands-on experience deploying services into public or private clouds using Infrastructure-as-Code (IAC).</li>
<li>A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring.</li>
<li>Expert with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer).</li>
<li>Experience with container deployment and management tools (e.g. docker, podman, apptainer).</li>
<li>Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd ,Kafka</li>
<li>Excellent communication and presentation skills, and experience dealing with end-users of IT or cloud services.</li>
<li>An ability to work independently and lead others on critical infrastructure without oversight, and with a focus on end-user availability.</li></ul> 


Desirable but not required:
<ul>
<li>Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU ).</li>
<li>Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.</li>
<li>Strong skillset and experience in end-to-end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild.</li>
<li>Experience with managing production Kubernetes clusters and workloads.</li>
<li>Experience with workload queue management systems (SLURM, LSF, Kueue).</li>
<li>Experience with managed switch configuration (e.g. EOS, SONiC, DNOS).</li>
<li>Programming experience with Python3 utilising classes and inheritance.</li>
<li>Programming experience with Go.</li></ul> 


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.</div>

Principal Cloud Engineer

<div><h3 class="jobSectionHeader">About the job</h3>

Help prove the ML software stack that future AI systems will depend on. Graphcore is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware.You will build the test infrastructure, automation and tooling that engineers trust every day. Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems.

This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute.
<h3 class="jobSectionHeader">
The team and culture</h3>

The ML QA team sits where Graphcore's software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking.

Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns.

Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly.
<h3 class="jobSectionHeader">
What we're looking for</h3>
<ul><li>Strong software design skills, with experience building maintainable systems across large codebases.</li><li>Production Python experience, including testable, reliable code used by other engineers.</li><li>Experience with CI/CD, automated testing and Linux based development workflows.</li><li>Familiarity with C or C++, with confidence reading and debugging low level code.</li><li>Understanding of ML frameworks, workloads or model execution beyond simple API usage.</li><li>Ability to mentor engineers, improve practices and take ownership of complex technical problems.</li></ul>
<h3 class="jobSectionHeader">
Benefits</h3>
<ul><li>Unlimited annual leave</li><li>Up to 5% matched pension</li><li>Phantom equity &ndash; share in Graphcore's success</li><li>True flexibility in how and where you work</li><li>Office spaces designed for collaboration</li><li>Free food and an on-site barista</li><li>Health cash plan</li><li>Income protection</li><li>Life assurance</li><li>Along with other benefits you can choose from (private medical insurance, dental plan etc)</li></ul>
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.
<h3 class="jobSectionHeader">
Join the team at Graphcore</h3> 

Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

If you want to shape how complex ML software is tested, trusted and improved, we'd love to hear from you. Apply now to be part of the journey.</div>

Senior Software Engineer (ML QA)

Join Graphcore and explore 21   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Graphcore

About Company

2026 Graduate Firmware Engineer

2026 Graduate Software Engineer - Triton

2026 Graduate IT Infrastructure Engineer

Staff Engineer

Staff Engineer

Principal Cloud Engineer

Senior Software Engineer (ML QA)