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 Secrets Engineer to lead the development, deployment, and ownership of a secure, scalable secrets-management platform for the entire organization. You will build a new enterprise-grade HashiCorp Vault or OpenBao environment from scratch. It must be highly available, resilient, and suited for long-term use. 

This is a strategic role: you will deliver and operate the central platform. You will also collaborate with engineering, security, and operations teams that manage localized or ad-hoc secrets systems. A key part of your mission is to unify and standardize these methods across Graphcore, ensuring consistent guidelines, smooth migration, and organization-wide support. 

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

Platform Ownership & Implementation

• Build, deploy, and operate an organization-wide HashiCorp Vault or OpenBao platform from scratch, ensuring high availability, scalability, and strong security posture.

• Define architecture for clustering, storage backends, auto-unseal, disaster recovery, and performance replication.

• Develop migration strategies and reference frameworks that allow other teams to move from their current secrets tools to the central platform.

• Standardization & Governance

• Collaborate with groups from engineering, security, and operations to merge various secrets stores into one unified system.

• Develop organizational standards, policies, access models, and workflows to ensure consistent, secure usage of the platform.

• Advocate for guidelines in secret lifecycle management, authentication methods, and identity federation.

Integrations, Enablement, and Developer Experience

• Build tooling, automation, onboarding guides, and libraries to help teams adopt Vault/OpenBao easily and accurately.

• Integrate Vault/OpenBao with CI/CD systems, cloud platforms, and internal services.

• Deliver workshops, training, and direct technical support to accelerate adoption.

Research & Advanced Security Capabilities

• Evaluate approaches for secure password storage for individual users—either within Vault/OpenBao or by assessing alternatives such as BitLocker or other credential-management systems.
• Conduct an initial study on the feasibility of implementing SPIFFE/SPIRE for workload identity, attestation, and zero-trust authentication, outlining future pathways and recommendations.

Collaboration & Cross-Team Work

• Partner with HPC, Networking, Storage, Security, and Cloud Engineering teams to ensure seamless integration of secrets workflows into broader infrastructure systems.
• Find opportunities to improve security posture and operational efficiency through automation and standardized secrets management. 

Candidate Profile

Essential:

• 4+ years in DevOps, SRE, security engineering, or platform engineering roles.
• Direct experience deploying and operating HashiCorp Vault, OpenBao, or a similar enterprise secrets-management system.
• Strong understanding of authentication backends (OIDC, LDAP, cloud IAM), secret engines, PKI, encryption, and token/credential lifecycle.
• Solid Linux administration and shell scripting experience.
• Experience with Infrastructure-as-Code (Terraform preferred) and CI/CD automation.
• Strong communication skills with the ability to collaborate across multiple engineering and security fields.

Desirable:

• Experience crafting HA/DR architectures for Vault/OpenBao.
• Experience connecting Vault with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines.
• Knowledge of SPIFFE/SPIRE, workload identity, or zero-trust architectures.
• Understanding of modern security tooling, certificate management, or identity platforms.
• Python programming experience for automation and tooling.

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About Graphcore

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

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

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

Job Summary

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

The Team

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

Responsibilities and Duties

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

Essential:

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

Desirable

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

Benefits

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

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

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

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

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

Job Summary

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

The Team

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

Responsibilities and Duties

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

Candidate Profile

Essential:

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

Desirable:

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

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

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 highly experienced Lead Atlassian Cloud Platform Engineer to own our Atlassian Cloud ecosystem. This includes multiple sites and environments used for cross-company collaboration. 

This role is responsible for maintaining the architectural integrity, security stance, and scalable expansion of the Atlassian platform. An important part of this position involves creating and managing a configuration-as-code environment. In this setup, platform settings are handled via APIs, pipelines, and source control instead of manual management, which guarantees consistency, traceability, and adherence across all locations. 

You will serve as the primary platform owner, setting standards, ensuring governance, and promoting self-service features that help teams work efficiently while keeping security and configuration intact. 

Collaborating with Project Managers, engineering teams, and partners, you will build scalable workflows. You will also guide platform growth and ensure the Atlassian environment adapts to the organisation’s changing requirements.

This role begins with an active role that includes daily support, configuration, and onboarding efforts. At the same time, it involves growing the Atlassian platform team and setting up scalable processes. 

The Team

You’ll be joining a multi-disciplinary team with strong technical skills and a very encouraging culture. We work closely together, 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 multiple Atlassian Cloud sites, ensuring secure collaboration spaces that span different companies
• Act as the authoritative decision-maker for Atlassian configuration, preventing configuration drift and ensuring architectural consistency in all builds
• Define and enforce governance standards aligned with audit, compliance, and security requirements
• Establish and maintain a configuration-as-code operating model, ensuring all configuration is provisioned and managed through source control, APIs, and CI/CD pipelines
• Build and maintain automated identity and access provisioning, coordinated with Azure AD (or equivalent), ensuring access follows established rules and is auditable
• Lead automation efforts for project provisioning, workflows, permissions, and scheme management
• Develop and evolve self-service capabilities to standardise project setup and reduce administrative overhead
• Define and maintain best-practice configuration patterns across Jira and Confluence
• Ensure secure separation of internal and third-party collaboration environments, with awareness of data governance, export controls, and security boundaries
• Conduct Root Cause Analysis (RCA) on platform and workflow issues and implement preventative improvements
• Act as the final point of contact for complex Atlassian issues and provide enterprise-level support
• Deliver professional advice to Project Managers and engineering teams across diverse workflows and delivery models
• Provide direct assistance when needed, including collaborating with Project Managers and teams to set up projects and workflows, ensuring they align with platform standards and governance
• Coordinate identity and access integrations and drive automation of administrative processes through scripting and tooling
• Build, mentor, and grow the Atlassian platform team, defining clear roles, responsibilities, and methods of collaboration
• Proactively identify improvement opportunities and drive solutions.

Candidate Profile

Essential:

• Extensive experience coordinating Atlassian Enterprise Cloud
• Proven experience operating as a lead or primary Atlassian platform owner
• Strong automation expertise (Jira Automation, REST APIs, scripting)
• Demonstrated experience implementing configuration-as-code approaches for SaaS platforms
• Experience automating project configuration and enforcing standardisation at scale
• Strong understanding of access control based on user identity and automated provisioning models
• Experience connecting Atlassian with Azure AD (or a similar IdP)
• Experience working in audit-controlled or governance-heavy environments
• Experience crafting secure multi-tenant or cross-company collaboration environments
• Solid understanding of data governance, security boundaries, and compliance considerations
• Proficient scripting abilities (e.g. PowerShell, Python, Go) and familiarity with CI/CD pipelines
• Strong collaborator management and consultancy skills
• Proven ability to operate independently, set direction, and deliver outcomes

Desirable

• Atlassian certifications
• Experience building internal self-service platforms
• Experience directing large-scale collaboration efforts across multiple companies
• Familiarity with DevOps tooling and infrastructure-as-code concepts
• Experience defining enterprise-wide workflow standards

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

As a member of the drivers and utilities team you will contribute to the planning, design, implementation and testing of low level kernel drivers and user space driver library code. You will be part of one of the two teams in the system software department (the firmware team being the other one) and report to the drivers and utilities team manager.  

The Team

The drivers and utilities team forms part of the system software group – working closely with both software engineers developing our Poplar SDK and with silicon and hardware engineers developing Graphcore’s IPU solution. The drivers and utilities team develop custom control software on the host in kernel and user space. Our solutions enable our customers to get maximum performance and utility for our cutting-edge products.  

Responsibilities and Duties

• Design, implement, test and document OS Kernel and Device Driver software at the highest standard using C/C++/Python programming languages
• Participate in agile development – working as part of a scrum team to develop the right software at pace
• Communicate effectively and contribute regularly to technical discussions with your peers in software and hardware engineering, with architects and other stakeholders
• Hands-on during key product development phases involving close working with hardware and silicon engineering groups to enable fast time to market delivery

Candidate Profile

Essential:

• Proven industry experience in software development using programming languages such as C/C++/Python
• OS Kernel and Device Driver development and deployment experience in Linux or Windows systems
• Good understanding of lower-level software stack and interactions with the hardware layer
• Possess effective problem-solving skills, familiar with a full suite of debug and performance analysis tools and techniques
• Experience with one or more of the following: PCIe, CPU, device drivers, SoC, firmware, and hardware/software integration
• Proactive in obtaining engineering or management input to solve issues
• Motivated to schedule own workload
• Excellent written and verbal communication skills, work well within a multinational team and with multinational customers. Excellent cultural awareness is essential. 

Desirable

• Experience developing firmware or drivers for GPUs. 
• Knowledge of CUDA or OpenCL  
• Experience working on upstreaming of kernel code / contributing to Linux kernel.
• Exposure to integration with data centre / cloud service operations – for example integration with Kubernetes or open stack. 

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.

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 us 

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 Team

Graphcore is seeking a motivated and curious Graduate IT Infrastructure Engineer to join our Infrastructure Solutions team. This is an exciting opportunity to develop deep technical expertise while supporting the systems that power next-generation AI workloads across the business.

The Infrastructure Solutions team designs, builds, and supports the IT environments that enable our engineers to innovate at scale. We work across on-premise infrastructure, cloud platforms, networking, automation, and security — ensuring performance, resilience, and reliability throughout the organisation.

As a graduate, you’ll gain exposure to enterprise-scale infrastructure and cutting-edge AI hardware environments while learning from experienced engineers.

Responsibilities and Duties

• Supporting and maintaining internal IT infrastructure (servers, storage, networking, virtualisation)
• Assisting with cloud platform operations (e.g. AWS, Azure, GCP)
• Contributing to automation and infrastructure-as-code initiatives
• Helping monitor system performance, reliability, and security
• Troubleshooting technical issues and supporting root cause analysis
• Working collaboratively across engineering and IT teams
• Participating in infrastructure improvement projects

You’ll be supported with structured learning, mentorship, and increasing responsibility as your skills develop.

Candidate Profile

• Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field. 
• Passionate about infrastructure, cloud technologies, and systems engineering
• Familiar with some of the following (through study, projects, or internships):
  • Linux or Windows server environments
  • Networking fundamentals (TCP/IP, DNS, routing, firewalls)
  • Cloud platforms (AWS/Azure/GCP)
  • Scripting (Python, Bash, PowerShell)
  • Virtualisation or containerisation (VMware, Docker, Kubernetes)
• Analytical, methodical, and eager to learn
• Strong communicators who enjoy problem-solving in a team environment

We don’t expect you to know everything — we value curiosity, initiative, and a willingness to learn.

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 us 

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 Graduate Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. This role is ideal for someone who loves working hands-on with models, has a strong foundation in ML fundamentals, and wants to push the boundaries of AI performance in real-world systems. 

The Team

The Applied AI team’s role is to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for different modalities and applications. 

Responsibilities and Duties

• Implement state-of-the-art machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. 
• Evaluate new software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. 
• Benchmark models and key model components to identify performance bottlenecks and improve model efficiency. 
• Design and conduct experiments on novel AI methods, analyse and report results clearly. 
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware. 
• Stay current with AI research and actively engage with the broader AI and open-source community. 

Candidate Profile 

Essential:

• Bachelor’s/Master's degree in Machine Learning, Computer Science, Maths, Data Science, or related field. 
• Proficiency in deep learning frameworks such as PyTorch/JAX and strong software development skills. 
• Solid understanding of deep learning fundamentals — architectures, optimisation, evaluation, and scaling. 
• Capable of designing, executing and reporting from ML experiments. 
• Comfortable working in a fast-moving, occasionally ambiguous environment. 
• Enjoy cross-functional work collaborating with other teams. 

Desirable:

Experience in one or more of: 

• Development of deep learning models including large generative models for language, vision and other modalities; 
• Low-precision/efficient compute; 
• Distributed training of large-scale ML models. 
• Experience writing high performance C++/Triton/CUDA kernels. 
• Contributions to open-source projects or published research. 
• Familiarity with cloud platforms and ML infrastructure. 
• Enthusiasm for presenting, publishing, or engaging in the AI community. 

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 us  

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 enjoys a culture of continuous learning and constant innovation.  

Job Summary 

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. 

The Team 

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. 

Responsibilities and Duties 

• Supporting the delivery and ongoing maintenance of tools and services to support the software build and release process 

• Deploy and maintain services with Kubernetes and Docker 

• Supporting the ongoing management of our Cloud Infrastructure using tools such as Terraform 

• Working closely with development teams working on the ML Software Stack (SDK) 

Candidate Profile 

Essential: 

• Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field 

• Knowledge of Python/Go/Java/C++ (or similar language) 

• Experience managing or developing in Linux environments 

• Understanding of CI/CD principles 

• Strong communication skills 

Desirable 

• Experience using Kubernetes (k8s) or OpenStack 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

• Experience with GitHub Actions 

• Experience with build tools (e.g. CMake) 

• Experience with Grafana 

• Familiarity with cloud services (e.g. AWS) 

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 

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. 

Responsibilities and Duties 

• Develop, own, and maintain tools and services to support AI research and engineering teams 

• Deploy and maintain services with Kubernetes and Docker 

• Manage our Cloud Infrastructure using tools such as Terraform 

Candidate Profile  

Essential: 

• Knowledge of Python 

• Familiarity with cloud services (e.g. AWS) 

• Experience managing or developing in Linux environments 

• Understanding of CI/CD principles 

• Experience using Kubernetes (k8s) 
  
• Experience of one of the following:
  
  
• maintaining machine learning applications.
  
  
• deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot).
  
  
• managing ML accelerator hardware (e.g. DCGM).

Desirable 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

• Experience with GitHub Actions 

• Experience with modern observability tooling (e.g. Prometheus) 

• Experience with Grafana 

• Knowledge of Go/Java/C++ (or similar language)

  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.

  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 us 

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. 

Job Summary 

Reporting to the Head of Data & Analytics, the Lead Data Engineer is a senior individual contributor responsible for leading a key area of Graphcore’s data platform and engineering practices. This role combines hands-on technical delivery with technical leadership across data pipelines, platform capabilities and data products that support analytics, reportingand operational decision-making. Working closely with stakeholders across technical and business functions, the Lead Data Engineer helps shape the direction of the data platform, drives improvements to reliability, scalability and governance, and enables teams across Graphcore to make better use of trusted data. 

The Team 

The Data & Analytics team enables better decision-making across Graphcore by building trusted data foundations, scalable platforms and high-quality data products. The team works across a broad range of business and technical domains, partnering with colleagues throughout the company to improve access to reliable information, strengthen operational insightand support efficient, data-informed ways of working. Within this team, the Lead Data Engineer plays a key role in evolving the platform, setting engineering standards and delivering robust solutions that scale with business needs. 

Responsibilities and Duties 

• Lead the design, build and evolution of robust data pipelines and platform services that support analytics, reporting and operational use cases across Graphcore. 

• Own the data engineering stack, planning and delivering improvements to reliability, scalability, maintainability, performance and security. 

• Build and operate Python-based batch and streaming workflows, with clear approaches to orchestration, testing, deployment, monitoring and incident resolution. 

• Design and implement data solutions on AWS using services such as S3, Lambda, Aurora PostgreSQL, Athena, Glue and Redshift, ensuring they are secure, resilient and cost-conscious. 

• Define and apply engineering standards for data quality, observability, documentation, release processes and operational support. 

• Partner with analysts, engineers and business stakeholders to translate requirements into trusted datasets, well-structured data models and reusable data products. 

• Drive improvements to platform resilience through approaches such as idempotent processing, retry and recovery mechanisms, buffering strategies and backfill or replay capabilities. 

• Lead technical decision-making in your area by reviewing designs and code, sharing expertise and helping to raise the quality bar for data engineering across the team. 

• Build and maintain CI/CD workflows and development practices that enable safe, repeatable and efficient delivery of data infrastructure and workflows. 

• Ensure appropriate data protection and access controls are in place, including least-privilege access, secure secrets handling and suitable database permissions. 

• Contribute to the development of internal tools and lightweight applications that improve access to data and support self-serve workflows. 

• Work across teams to identify opportunities for platform and process improvements, helping shape the direction of data engineering within the wider Data & Analytics function. 

Candidate Profile 

Essential 

• Strong experience designing, building and operating production-grade data pipelines and data platforms in Python. 

• Strong hands-on experience with modern data orchestration, testing, deployment and monitoring practices in a production environment. 

• Experience building solutions on AWS data services, including storage, processing and query technologies. 

• Strong understanding of data modelling, data quality, schema design and performance optimisation across relational and analytical systems. 

• Experience designing reliable data systems that recover gracefully from failure and operate effectively in real-world production conditions. 

• Experience working with batch and streaming data pipelines, including operational support, troubleshooting and continuous improvement. 

• Strong knowledge of security and access control principles for data platforms, including IAM, database permissions and secure handling of credentials and secrets. 

• Experience providing technical leadership as a senior individual contributor through design reviews, code reviews, standards-setting and mentoring of others. 

• Ability to work effectively with both technical and non-technical stakeholders, turning business needs into practical, scalable data solutions. 

• Strong communication skills, with the ability to explain technical decisions clearly and influence outcomes across teams. 

Desirable 

• Experience with Prefect or a similar workflow orchestration platform. 

• Experience with streaming or data collection technologies. 

• Experience with PostgreSQL, Redshift, ClickHouse or similar database and warehouse technologies. 

• Experience with CI/CD tooling and Infrastructure as Code approaches. 

• Experience building lightweight internal tools or data applications using Python frameworks such as Streamlit or Flask. 

• Familiarity with dbt and working models that combine data engineering and analytics engineering. 

• Understanding of operational best practices for cloud-based data platforms, including cost optimisation and observability. 

• Experience working in a fast-moving product, technology or engineering-led environment. 

About Graphcore 

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

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

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

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

The Software Platform team at Graphcore 

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

Responsibilities and Duties

• Develop and operate Kubernetes-managed end-user services on our private clouds and support internal users in their use. You will turn end-user and product requirements into deployed services. 
• Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. 
• Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres. 

Skills and Experience (all required) 

• Bachelor's degree or equivalent practical experience in a relevant subject. 
• Experience with managing production Kubernetes clusters and workloads with a continuous delivery tool such as ArgoCD. 
• Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. 
• Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints.  
• Strong proven Linux scripting ability (bash, python, awk, sed). 
• Strong proven Linux system administration (Ubuntu, RHEL and variants). 
• Experience with a version control system (preferably Git) and using it to manage system configuration or automation. 
• Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. 
• A solid hands-on understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. 
• Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer). 
• Good communication and presentation skills, and experience dealing with end-users of IT services. 
• An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end-user availability.  

 
Desirable but not required: 

• Experience with Openstack cloud platforms. 
• Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.  
• Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. 
• Programming experience with Python3 utilising classes and inheritance. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

About Graphcore 

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

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

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

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

The Software Platform team at Graphcore 

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

Responsibilities and Duties 
 

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

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

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

Skills and Experience (all required) 

• Bachelor's degree or equivalent practical experience in a relevant subject. 
• Significant hands-on experience with 1 or more vendor’s high-end (100Gb/s+) ethernet switch solutions. 
• Experience managing on-premises or private-cloud environments.  
• Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. 
• Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints.  
• Strong proven Linux scripting ability (bash, python, awk, sed). 
• Strong proven Linux system administration (Ubuntu, RHEL and variants). 
• Experience with a version control system (preferably Git) and using it to manage system configuration or automation. 
• Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. 
• A solid hands-on understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems) and how they relate to high-performance networking. 
• Experience with IAC automation tools (Terraform/OpenTofu, Ansible). 
• Experience with container deployment and management tools (e.g. docker). 
• Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.  
• Good communication and presentation skills, and experience dealing with end-users of IT services. 
• An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end-user availability.  

Desirable but not required: 

• Experience with Openstack cloud platforms. 
• Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. 
• Experience with hardware offloading on RDMA-capable NICs and how that integrates with virtual networking on Open V-switch, KVM/QEMU. 
• Experience with managing production Kubernetes clusters and workloads with an automation tool such as ArgoCD. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

About Graphcore 

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

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

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

Job Summary

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

The Software Platform team at Graphcore 

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

Responsibilities and Duties

• Develop and operate end-user services on our private clouds and support internal users in their use. You will turn end-user and product requirements into deployed services. 
• Help to build automation to collect and analyse metrics and other data from the cloud services to support clear identification and reporting of any issues.  Work with users to provide information of any product-related issues to Engineering and QA departments. 
• Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. 
• Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres. 
• Work with external vendors of off-the-shelf switches, servers and storage solutions to integrate 3rd party products into our Cloud Reference Design. 

Skills and Experience (all required) 

• Bachelor's degree or equivalent practical experience in a relevant subject. 
• Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. 
• Experience managing on-premises or private-cloud environments.  
• Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints.  
• Strong proven Linux scripting ability (bash, python, awk, sed). 
• Strong proven Linux system administration (Ubuntu, RHEL and variants). 
• Experience with a version control system (preferably Git) and using it to manage system configuration or automation. 
• Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. 
• A solid hands-on understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. 
• Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer). 
• Experience with container deployment and management tools (e.g. docker). 
• Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.  
• Good communication and presentation skills, and experience dealing with end-users of IT services. 
• An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end-user availability.  

 Desirable but not required: 

• Experience with Openstack cloud platforms. 
• Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. 
• Experience with managing production Kubernetes clusters and workloads.  
• Programming experience with Python3 utilising classes and inheritance. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

About Graphcore

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 Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

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.

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 Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

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.

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

Senior: PLN 260,400 - 352,200
Staff: PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level

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 Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. 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 

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 enjoys a culture of continuous learning and constant innovation.  

Job Summary

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible.

Responsibilities and Duties

• Develop, own, and maintain tools and services to support the software build and release process
• Deploy and maintain services with Kubernetes and Docker
• Manage our Cloud Infrastructure using tools such as Terraform
• Support the technical development of junior and graduate engineer
• Embody a strong engineering discipline for high reliability and minimal toil 

Candidate Profile 

Essential: 

• Knowledge of Python/Go/C++ (or similar language) 

• Experience deploying services in the cloud (AWS preferred) 

• Deep understanding of Linux environments 

• Native user of CI/CD for production deployments 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

Desirable 

• Experience using Kubernetes (k8s) or OpenStack 

• Experience with GitHub Actions 

• Experience with build tools (e.g. CMake) 
• Experience with modern observability tooling (e.g. Prometheus) 
• Experience with Grafana 

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.

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 

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 enjoys a culture of continuous learning and constant innovation.  

Summary 

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed system

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. 

Responsibilities and Duties 

• Develop, own, and maintain tools and services to support the software org 

• Deploy and maintain Kubernetes infrastructure to develop, test, and scale Graphcore hardware and its software stack 

• Manage our Cloud Infrastructure using tools such as Terraform 

Candidate Profile 

Essential: 

• Practical experience developing in Go 

• Familiarity with cloud services (AWS preferred) 

• Experience managing or developing in Linux environments 

• Understanding of CI/CD principles 

• Strong experience of Kubernetes (k8s) development and deployment 

Desirable 

• Experience developing Kubernetes Controllers 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

• Experience with GitHub Actions 

• Experience with distributed HPC systems 

• Experience with modern observability tooling (e.g. Prometheus) 

• Knowledge of Python/C++ (or similar language) 

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.

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 Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

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.

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 member of the drivers and utilities team you will contribute to the planning, design, implementation and testing of low level kernel drivers and user space driver library code. You will be part of one of the two teams in the system software department (the firmware team being the other one) and report to the drivers and utilities team manager.  

The Team

The drivers and utilities team forms part of the system software group – working closely with both software engineers developing our Poplar SDK and with silicon and hardware engineers developing Graphcore’s IPU solution. The drivers and utilities team develop custom control software on the host in kernel and user space. Our solutions enable our customers to get maximum performance and utility for our cutting-edge products.  

Responsibilities and Duties

• Design, implement, test and document OS Kernel and Device Driver software at the highest standard using C/C++/Python programming languages
• Participate in agile development – working as part of a scrum team to develop the right software at pace
• Communicate effectively and contribute regularly to technical discussions with your peers in software and hardware engineering, with architects and other stakeholders
• Hands-on during key product development phases involving close working with hardware and silicon engineering groups to enable fast time to market delivery

Candidate Profile

Essential:

• Proven industry experience in software development using programming languages such as C/C++/Python
• OS Kernel and Device Driver development and deployment experience in Linux or Windows systems
• Good understanding of lower-level software stack and interactions with the hardware layer
• Possess effective problem-solving skills, familiar with a full suite of debug and performance analysis tools and techniques
• Experience with one or more of the following: PCIe, CPU, device drivers, SoC, firmware, and hardware/software integration
• Proactive in obtaining engineering or management input to solve issues
• Motivated to schedule own workload
• Excellent written and verbal communication skills, work well within a multinational team and with multinational customers. Excellent cultural awareness is essential. 

Desirable

• Experience developing firmware or drivers for GPUs. 
• Knowledge of CUDA or OpenCL  
• Experience working on upstreaming of kernel code / contributing to Linux kernel.
• Exposure to integration with data centre / cloud service operations – for example integration with Kubernetes or open stack. 

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.

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

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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.

The Details

Salary: £65,000 - £95,000 DOE

Location: 3 days onsite in Bristol, 2 days from home

Security Clearance: Eligible for SC and/or DV Clearance  

The Role 

As a Site Reliability Engineer, you’ll play a key role in designing, building, and maintaining resilient systems that support critical operations. You’ll work closely with cross-functional teams to ensure our platforms are scalable, secure, and reliable. 

This is a hands-on role where you’ll have the opportunity to influence technical direction, improve system performance, and contribute to meaningful projects. 

What You’ll Be Doing 

• Designing and maintaining reliable, scalable infrastructure  

• Monitoring system performance and proactively resolving issues  

• Automating processes using tools such as Ansible to improve efficiency and consistency  

• Collaborating with engineers and stakeholders across the business  
• Supporting continuous improvement of systems, tools, and practices  

What We’re Looking For 

We recognise that no one ticks every box. If your experience aligns with most of the below, we’d love to hear from you: 

• Experience in Site Reliability Engineering, DevOps, or similar roles  

• Strong knowledge of cloud platforms (e.g. AWS, Azure, or GCP)  

• Experience with infrastructure as code and configuration management tools (e.g. Terraform, Ansible)  

• Familiarity with CI/CD pipelines and automation practices  

• Understanding of monitoring, logging, and alerting systems  

• A collaborative mindset and a passion for problem-solving  

What You’ll Get 

• Competitive salary and benefits package  

• 28 days’ holiday plus bank holidays, with the option to buy or sell an additional week  

• Annual bonus  

• 8% non-contributory pension  

• Private healthcare and life insurance  

• Enhanced parental leave 

• Flexible working  

• Opportunities for learning, development, and career progression  

• Supportive and inclusive team environment  

• The chance to work on meaningful projects