This senior role focuses on strengthening the quality engineering foundation for our SDK by developing robust automation, scalable CI/CD systems, and effective test strategies. You will work closely with cross-functional partners to enhance test coverage, improve workflows, and ensure reliable delivery across multiple platforms. The role requires strong technical depth, collaborative working, and the ability to drive meaningful impact quickly.

What you’ll be doing

• Designing, implementing, and maintaining CI/CD pipelines to support build, test, and release workflows.
• Developing automation and tooling in Python to streamline test orchestration and system validation.
• Creating and running automated tests across unit, integration, and system layers.
• Debugging and diagnosing issues across build, test, and deployment environments.
• Supporting Linux and Windows development environments and contributing to cross-platform scripting.
• Applying modern test frameworks and quality metrics to improve test strategy and reporting.
• Collaborating closely with multiple SDK teams to align on shared initiatives.
• Participating in rotational assignments to deepen domain expertise and broaden cross-project knowledge.
• Coordinating with teams across London, Bristol, and Dublin, including occasional travel as needed.
• Mentoring peers, sharing best practices, and influencing quality engineering approaches.

What we are looking for

• Experience building and maintaining CI/CD pipelines (Jenkins/Groovy or equivalent).
• Strong Python 3 skills for automation, tooling, and test orchestration.
• Experience developing and executing automated tests at multiple levels.
• Fluency with Linux and Windows development environments.
• Proficiency with scripting languages such as python, bash, or PowerShell.
• Ability to diagnose and resolve issues across complex build and test systems.
• Familiarity with test frameworks such as pytest, GTest, or similar.
• Understanding of software quality metrics, reporting, and test strategy.
• Experience or awareness in one or more additional areas: C/C++, CMake, C#, Rust, .NET, Docker, Kubernetes, VM orchestration, graphics APIs, AIML/MLOps, or desktop app testing.
• Strong communication and collaboration skills, with the ability to work effectively across distributed teams and represent quality engineering perspectives.

Join us and be a member of the team that tests the development tools used to create every PlayStation® game. This is a great opportunity to continue a career in Software Testing, working on industry leading development tools and being mentored by experts in their field. 

What you’ll be doing 

• Developing tests for new applications, new features and regressions. 
• Developing test strategies with application teams. 
• Automating tests as part of our continuous integration systems. 
• Investigating issues and creating reproducible test cases. 
• Conducting manual, exploratory testing. 
• Reporting test results clearly (including performance and coverage). 
• Developing tooling to help reduce test time and ease test execution. 
• Make suggestions and recommendations for improvements to help shape the finished product. 
• Collaborate with global, cross-functional teams in a multicultural environment to develop organisation-wide test strategies and infrastructure. 
• Mentoring peers, sharing best practices, and influencing quality engineering approaches. 

What we are looking for 

• 5+ years experience in developing tests for software applications. 
• Experience of automating tests. 
• A good understanding of software testing techniques. 
• Good C# programming skills. 
• Understanding of C++. 
• Experience in triaging bugs and creating reproducible tests. 
• Experience with software build tools, issue tracking and source control systems. 

Nice to have 

• Experience of Microsoft Windows applications. 
• Experience of Microsoft Visual Studio. 
• Experience of using Selenium/Appium. 
• Experience using Powershell and Python. 
• Experience of testing development tools. 
• Experience of testing on Linux & Mac. 

We anticipate that suitable candidates will demonstrate the following personal attributes 

• Proactive work ethic, with a passion for software quality and a positive customer experience. 
• The ability to gain the respect of, and work successfully with others, regardless of reporting line. 
• Influencing and persuasion skills. 
• Strong written and verbal communication skills. 
• Is thorough, patient, and works calmly under pressure. 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are seeking a Senior Virtualisation Engineer to manage our corporate and engineering virtualisation platforms. These platforms support core services like Active Directory, DNS, source-control systems, and Kubernetes clusters. You will ensure the reliability, performance, and lifecycle management of our VM and container platforms. 

A key part of this role involves owning and managing our VDI environment for high-performance EDA CAD workloads. Experience with Omnissa Horizon or a similar virtual desktop platform is required. You will also manage the VM fleet daily, including provisioning, automation, patching, incident response, and optimization. Experience with VMware Tanzu or other Kubernetes orchestration platforms is highly valued. A strong automation approach is important to streamline deployment and simplify operations.

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

• Manage and maintain the corporate virtualisation platforms supporting core services.
• Run, track, and improve Kubernetes platforms (VMware Tanzu or alternatives).
• Manage the VDI environment used for EDA CAD workloads (Omnissa Horizon or similar).
• Carry out lifecycle tasks throughout the VM fleet, including provisioning, patching, and fault resolution.
• Automate deployment and operational processes (Ansible, Terraform, PowerCLI, Python, etc.).
• Automation of CI/CD based image/template creation to generate known secure images.
• Implement monitoring, capacity planning, and performance optimisation for hypervisors and virtual workloads.
• Diagnose intricate problems spanning virtualisation, network, and storage domains.
• Work with vendors on upgrades, support cases, and platform evaluations.

Candidate Profile

Essential:

• 5+ years experience coordinating enterprise virtualisation platforms.
• Strong hands-on experience with VMware vSphere/ESXi or equivalent.
• Experience handling VDI deployments at scale (Omnissa Horizon or VMware Horizon preferred).
• Experience managing core infrastructure (AD, DNS, SCM) in virtualised environments.
• Proficient in automation tools and scripting languages such as Ansible, Terraform, PowerCLI, Python, and others.
• Strong problem-solving abilities across compute, network, and storage.
• Experience with patching, upgrades, and capacity planning.
• Strong understanding of security architecture, hardening practices, and risk mitigation within virtualised environments.

Desirable:

• Experience supporting semiconductor or HPC/EDA environments.
• Familiarity with GPU-accelerated VDI or compute workloads.
• Knowledge of observability tools (Prometheus, Grafana, Splunk).
• Understanding of high-performance networking (10/25/40/100GbE, RDMA, etc.).
• Experience with crafting sandbox environments for security and DR testing work, for example.
• Understanding of Kubernetes platforms (Tanzu, OpenShift, Rancher, etc.).
• Worked with third-party hyper-converged VMware platforms such as SimpliVity.

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

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.

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 Lab Support Engineer at Graphcore, you’ll play a key role in keeping our people and systems running efficiently. You’ll provide day-to-day support to internal customers and external collaborators in on-prem Hardware Labs and Silicon development projects in hybrid Linux & Windows environments. You will help colleagues resolve issues quickly while maintaining a strong focus on security and following established guidelines. 

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, L1&L2 support
• Handling and maintaining Linux-based systems
• Handling and providing support for Windows-based systems
• Managing a fleet of servers, helping Hardware Lab teams with daily activities
• 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
• 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

Desirable

• 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)
• Experience in managing web servers, load-balancers, 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

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.

Fractile is building silicon, systems and software which will redefine the frontier of AI: running the world’s most advanced models at radically higher speed and lower cost. We have an exceptional team across hardware and software capable of bringing about this change, and we are growing fast to meet demand and deliver our product at scale.

We are seeking a Hardware Electronics Design Engineer to design, develop, and validate high-speed and high-power electronic systems. This role involves schematic design, PCB development, signal and power integrity, and hands-on bring-up of complex hardware. The engineer will work closely with system, mechanical, firmware, and manufacturing teams to deliver reliable, high-performance products from concept through production.

The ideal candidate has deep experience with high-speed interfaces and power delivery, and is comfortable owning designs through debugging, validation, and manufacturing release.

Key Responsibilities

• Design and develop high-speed (PCIe/Ethernet) electronic circuits and systems
• Design power delivery networks (PDN) including DC-DC converters, multi-phase VRMs, and protection circuits
• Create schematics, BOMs, and design documentation for complex PCBs
• Lead board-level architecture decisions including power topology, interface selection, and component choice
• Work with PCB layout engineers to ensure proper stack-ups, routing, and return paths
• Address thermal considerations in collaboration with mechanical and thermal teams
• Lead board bring-up, debug, and root-cause analysis of hardware issues
• Use lab equipment (oscilloscopes, network analysers, power analysers) to validate performance
• Support compliance, reliability, and environmental testing
• Support DFM/DFT reviews and transition designs into manufacturing

Qualifications & Experience

• Diploma, Bachelor’s or Master’s degree in Electrical or Electronic Engineering, or equivalent experience
• 7+ years of experience in hardware electronics design
• Proven experience designing high-speed digital and high-power circuits
• Experience taking designs from concept through production

Technical Skills

• High-speed digital design (DDR, PCIe, Ethernet, SerDes)
• Power electronics and PDN design (buck/boost converters, VRMs, protection)
• Signal integrity (SI) and power integrity (PI) principles
• Schematic capture and PCB tools (Xpedition, Altium, Cadence, or equivalent)
• Hardware debug and lab instrumentation

Preferred Experience (Nice to Have)

• Experience with multi-layer high-speed PCBs (10+ layers)
• Familiarity with SI/PI simulation tools
• Experience with compliance testing (EMI/EMC, safety)
• Experience with AI accelerator or HPC hardware
• Thermal Management: Knowledge of techniques to manage heat dissipation in high-power systems

   How we work

• Ownership and execution: you will have full agency to drive your work forward
• Rapid iteration: we all work directly with top leadership to move from idea to hardware on ambitious timelines
• Full-stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact
• Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there
• Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped, no matter who’s it is

About us

• Founded in 2022, team of 70+ which is expanding rapidly
• Modern, open offices in London and Bristol
• Collaborative, problem-solving culture built on deep curiosity, entrepreneurial initiative and technical fluency

Export control and security clearance

Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.

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.

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.

The Person 

Graphcore’s experienced, skilled, and motivated engineering team is heavily involved in shaping the future of AI. A successful candidate will exhibit exceptional knowledge in Design for Testability (DFT) and will have a strong technical background and experience in DFT methodologies, complemented by a robust, self-motivated work ethic. The ideal candidate should also have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. Some hands-on experience in one or more of the following areas is essential: RTL design, simulations and debugging, synthesis, STA.  

The Role: 

We are expanding and looking for an experienced DFT engineers to join the Silicon team. As a part of our team, you will have the opportunity to work on next-generation AI designs targeted for data centers applications. 

Responsibilities: 

• Keep up with the latest industry trends in DFT domain and help adopt the latest DFT techniques and methodologies 

• Work closely with design, verification, physical design and product engineering teams to integrate DFT requirements into the overall design process 

• Define and implement DFT architecture and features for next-generation AI designs and support their verification effort 

• Develop efficient DFT flows and methodology compatible with silicon design flows 

• Work with 3rd party IPs to integrate the provided design into the DFT infrastructure 

• Generate structural test vectors, analyze and improve test coverage 

• Work with the product and test engineering teams to ensure successful silicon bring-up and help identify any silicon failures to enhance yield learning and improvement 

Requirements: 

• Very good understanding of DFT components like JTAG (IEEE 1149.x), IJTAG (IEEE P1687), Core Test (IEEE P1500), SSN (Streaming Scan Network), Test Compression, OCC etc. 

• Experience on developing DFT specifications and driving the implementation of the DFT features 

• Experience in MBIST and BISR implementation and verification is desired 

• Solid understanding of design verification methodologies for validating the DFT features using simulation in pre-silicon designs 

• Exposure to STA constraints development and analysis for DFT modes and SDF simulations would be a plus 

• Experience in Scan based testing and industry standard ATPG tools 

• Knowledge of ATPG pattern verification and gate-level simulation flows using Synopsys VCS and Verdi or other EDA tools 

• Very good knowledge of Digital Integrated Circuits and Systems 

• Hands-on experience with Verilog RTL coding and familiarity with System Verilog   

• Strong scripting and debugging skills using programming languages like Python, TCL, Perl, Shell etc. 

• Exposure to silicon bring-up, post-silicon testing and tester pattern debugging 

• Strong problem-solving skills across various levels of design hierarchies 

• Great team working and communication skills 

Academic Credentials 

• Bachelors or Masters or PhD in Computer engineering/Electrical engineering/Electronics Engineering

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  

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know. 

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.

About Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary 

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

The Team 

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

Responsibilities and Duties 

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

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

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

• Automate storage configuration, provisioning, and operational workflows. 

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

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

Candidate Profile 

Essential: 

• 5+ years of experience in storage administration or engineering, with at least 3 years focused on cloud storage solutions in AWS 

• Hands on experience with enterprise storage platforms: NetApp ONTAP, Pure, DDN, Dell/EMC, etc. 

• Deep expertise in storage services, particularly NFS, CIFS, S3, and EBS 

• Hands-on experience with parallel or scale out file systems (Ceph, Lustre, WEKA, GPFS, etc.) in an HPC or high-throughput environment 

• Proven experience with backup, recovery, and DR strategies in a large-scale environment 

• Proficiency with using automation to deliver consistent storage configuration and deployment (Ansible, Terraform, Python, or similar) 

• Deep knowledge of providing storage to Virtualisation infrastructure 

• Good troubleshooting skills across storage, network, and compute boundaries. 

Desirable: 

• Experience in the semiconductor industry and familiarity with the storage demands of EDA workloads 

• Understanding of high-speed networking relevant to storage (10/25/40/100GbE, NFSv4.1, RDMA). 

• Familiarity with observability tools such as Prometheus, Grafana, or Splunk. 

• Experience of working with source control management tools such as Git. 

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.

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

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 hardware signal integrity engineer you will develop, extract and simulate PCB structures to ensure that the high speed SERDES (112Gbps) and DDR interfaces perform correctly within the system budget. 

You will work closely with the PCB and package substrate CAD engineers to design component signal launches from BGA components and connectors, layer transition via structures, and cable interconnect. You will define the low-loss materials to be used for future designs and work closely with Graphcore’s system architecture team and suppliers to ensure the best possible performance is achieved. You will be an expert user of high-speed PCB simulation tools and be familiar with industry best practice in high-speed digital system design.

The Team

Graphcore’s Hardware Engineering Team creates both products for sale in volume production and hardware test & validation systems based on Graphcore’s IPU processor.

These systems allow Graphcore’s customers to develop leading-edge machine-leaning solutions for training and inference.

Responsibilities and Duties

Signal and Power Integrity specialist for the development of production systems and test boards for Graphcore’s family of processors.
Includes:

• Development of printed circuit board structures for high frequency (112Gbps, 16Gbps) SERDES interfaces, DDR interfaces 
• PCB stackup definition
• System, PCB and substrate level simulation and analysis of signal and power integrity
• Graphcore Integrated Circuit device interface requirements definition, tool & vendor relationships
• PCB design requirement and constraint definition, PCB layout supervision
• Prototype bring-up, evaluation, validation & system test

Candidate Profile 

• 5+ years’ experience in high-speed digital circuit development, with a deep understanding of signal and power supply integrity
• Knowledge of high-speed circuit design requirements to ensure signal integrity and robust rejection of interference and crosstalk is essential
• Experience of high frequency (tens of GHz) SERDES design and validation
• Experience with ANSYS SIWave, HFSS, and/or Mentor Hyperlynx Signal and Power Integrity tools
• High speed processor system design with experience in interfaces such as SERDES, PCI, DDR, Ethernet, etc.
• Design of BGA & connector pad launches, via structures and transmission lines for GHz signals.
• This position will require extensive practical work in the lab, bringing up, debugging and validating designs
• Expertise in the use of vector network analysers, high speed digital oscilloscopes, signal generators
• A rigorous approach is required to make sure designs will work correctly the first time
• Independent working and the taking of responsibility, with excellent cooperative and communications skills to work in a small team environment
• Experience working in a small team, which requires a wide range of skills, an eagerness to participate in all parts of the development cycle from concept to testing in the lab and supporting manufacture and customers. 

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.

The Firm

XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. 

We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures.

XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities.

At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.

The Role 

Support Engineer – End User Computing.

The End User Computing team look after all the technology used directly by humans in our organisation, such as the Windows and Linux desktops and Windows server infrastructure (including active directory, application deployment, clustered enterprise database systems, monitoring and automated build systems), audio-visual deployments, LAN, internet, and WiFi network environments and a wide range of enterprise applications (including e-mail, third-party productivity tools, and finance-specific applications). We exhibit special expertise in automation (predominantly in PowerShell, but also in python and other languages). 

We currently operate 4 days a week in-office, 1 from home.

Responsibilities

• You will support our employees in their day-to-day use of the computer systems in our Bristol Office and offer remote support to other European offices as required.
• Perform day-to-day operations, support, and maintenance of our IT platform and cloud applications, including (but not limited to): Microsoft 365, Slack, Active Directory, Jira, VC Estate and other IT related systems.
• Co-own and continuously improve the onboarding processes for both users and hardware in the Bristol office.
• Co-Manage IT asset tracking and lifecycle processes (procurement, deployment, refresh, and disposal).
• Contribute to the global Windows platform, supporting standardisation, optimisation, and continuous improvement.
• Diagnose and resolve issues across:
  • Windows desktops and servers.
  • Active Directory and Entra ID.
  • Hardware and peripherals.
• Develop and maintain automation solutions to improve efficiency and scalability, including:
  • Automated builds and provisioning.
  • Configuration management.
  • Patch management and application deployment.
  • Monitoring, observability, and performance tooling.

Once fully integrated into the business, there is an on-call rota to provide IT coverage, this includes occasional weekend support/maintenance tasks. Approximately once every 6 weeks with time off in lieu the following week.
 

Essential Attributes

We estimate that you will have at least 5 years’ experience in a relevant technical role and you will have many of the following technical skills:

• Relevant experience administering Windows environments, including:
  • Active Directory.
  • Microsoft 365, Entra ID (Identity, Intune, Purview, Exchange, Teams, …).
  • Windows 11, Windows Server (2019 / 2022 / 2025).
• Solid PowerShell scripting skills for automation.
• Experience with endpoint management tools:
  • SCCM.
  • Microsoft Intune (OS and application deployment/management).
• Familiarity with Linux command line environments.
• Working knowledge of version control systems (e.g., Git).
• Basic understanding of networking concepts and Cisco CLI commands.
• High proficiency with Microsoft Office applications.
• Due to the nature of the role, you will be occasionally required to move, lift, rack and install equipment (pc’s, switches, servers).

As this role involves regular interaction with, and providing support to our employees, we are seeking an individual that is:

• Personable and enthusiastic with a genuine desire to enable staff to take full advantage of their IT systems.
• Able to explain technical concepts and events to non-technical staff members.
• Articulate, numerate and capable of negotiating high value technology equipment and services.
• Able to reason logically and consistently deliver under pressure.
• Able to spot new opportunities and follow through with them.

Onboarding Note

To set our new hire up for success, we envisage that you would need to spend significant chunks of time at our London HQ to onboard with our existing team and learn how we approach end user computing. This could be a few months at the beginning, reducing thereafter to less regular trips. Alternatively, this could be a few weeks at the start and regular periods (2 weeks in every 4) thereafter. XTX would cover all associated costs.