Arm Limited
Cambridge, Cambridgeshire
Overview We are looking for an experienced Virtualization Engineer to join the team that powers Arm's engineering compute platform. In this role, you will play a key part in redesigning our on-premises Virtualization stack and crafting our hybrid-cloud infrastructure strategy. Your work will directly impact the productivity of engineering teams by delivering scalable, automated, and resilient infrastructure services. You will work closely with other teams to design, build, and support next-generation compute environments that meet the demands of high-performance engineering workloads. Job Overview The Staff Virtualization Engineer will be responsible for designing, implementing, and maintaining private cloud environments using data center virtualisation (VMware, Harvester, OpenShift, etc.) technologies. This role requires a deep understanding of virtualisation, cloud infrastructure, and automation to support the organization's hybrid-cloud strategy to enable and empower engineering teams using technology platforms. Responsibilities Design and deploy private cloud environments using Virtualization and software-defined data center (SDDC) technologies. Develop automation tools and modules to optimize infrastructure operations, ensuring high availability, scalability, and performance. Monitor the health and performance of hybrid-cloud infrastructure. Debug and resolve issues related to Virtualization and system reliability. Provide technical support and mentorship to engineering teams and internal users. Partner with multi-functional teams to understand infrastructure needs and deliver effective solutions. Communicate project updates and issue resolutions clearly. Maintain comprehensive documentation of processes, configurations, and standards. Stay ahead with evolving private cloud and automation technologies. Continuously identify and implement improvements in infrastructure, automation, security, and monitoring. Promote standard processes for infrastructure reliability and maintainability. Required Skills and Experience Bring deep expertise in building and maintaining enterprise-grade private cloud environments, using Virtualization and SDDC technologies such as VMware, KVM, OpenShift, and OpenStack. You'll be shaping the foundation of our internal cloud platforms. Drive the design and implementation of scalable, fault-tolerant infrastructure patterns tailored for high-availability, production-critical environments. Demonstrate a solid grasp of software-defined compute, storage, and networking, and design hybrid cloud solutions that seamlessly integrate on-prem and public cloud environments. Architect and implement automated workflows for both virtual and bare-metal infrastructure using tools such as Terraform, Ansible, Puppet, Foreman, and BMaaS platforms-enabling repeatable, reliable infrastructure delivery. Define and implement standards for IaC and configuration practices, helping engineering teams adopt and scale automation across the organization. Integrate infrastructure automation into CI/CD pipelines, enabling continuous delivery of platform changes. Experience with API-driven infrastructure and alignment with Site Reliability Engineering (SRE) principles is highly valued. Nice To Have Certification in OpenStack, Virtualization, SDDC, or related fields. Knowledge of containers such as Docker and Kubernetes. Experience working in or with DevOps, SRE, or platform engineering teams. Experience with monitoring and observability tools for hybrid-cloud environments. In Return Based in Cambridge UK, this is an opportunity to join a dynamic, collaborative, and driven team, and provides a genuine opportunity to craft the best outcomes for Arm. Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Overview We are looking for an experienced Virtualization Engineer to join the team that powers Arm's engineering compute platform. In this role, you will play a key part in redesigning our on-premises Virtualization stack and crafting our hybrid-cloud infrastructure strategy. Your work will directly impact the productivity of engineering teams by delivering scalable, automated, and resilient infrastructure services. You will work closely with other teams to design, build, and support next-generation compute environments that meet the demands of high-performance engineering workloads. Job Overview The Staff Virtualization Engineer will be responsible for designing, implementing, and maintaining private cloud environments using data center virtualisation (VMware, Harvester, OpenShift, etc.) technologies. This role requires a deep understanding of virtualisation, cloud infrastructure, and automation to support the organization's hybrid-cloud strategy to enable and empower engineering teams using technology platforms. Responsibilities Design and deploy private cloud environments using Virtualization and software-defined data center (SDDC) technologies. Develop automation tools and modules to optimize infrastructure operations, ensuring high availability, scalability, and performance. Monitor the health and performance of hybrid-cloud infrastructure. Debug and resolve issues related to Virtualization and system reliability. Provide technical support and mentorship to engineering teams and internal users. Partner with multi-functional teams to understand infrastructure needs and deliver effective solutions. Communicate project updates and issue resolutions clearly. Maintain comprehensive documentation of processes, configurations, and standards. Stay ahead with evolving private cloud and automation technologies. Continuously identify and implement improvements in infrastructure, automation, security, and monitoring. Promote standard processes for infrastructure reliability and maintainability. Required Skills and Experience Bring deep expertise in building and maintaining enterprise-grade private cloud environments, using Virtualization and SDDC technologies such as VMware, KVM, OpenShift, and OpenStack. You'll be shaping the foundation of our internal cloud platforms. Drive the design and implementation of scalable, fault-tolerant infrastructure patterns tailored for high-availability, production-critical environments. Demonstrate a solid grasp of software-defined compute, storage, and networking, and design hybrid cloud solutions that seamlessly integrate on-prem and public cloud environments. Architect and implement automated workflows for both virtual and bare-metal infrastructure using tools such as Terraform, Ansible, Puppet, Foreman, and BMaaS platforms-enabling repeatable, reliable infrastructure delivery. Define and implement standards for IaC and configuration practices, helping engineering teams adopt and scale automation across the organization. Integrate infrastructure automation into CI/CD pipelines, enabling continuous delivery of platform changes. Experience with API-driven infrastructure and alignment with Site Reliability Engineering (SRE) principles is highly valued. Nice To Have Certification in OpenStack, Virtualization, SDDC, or related fields. Knowledge of containers such as Docker and Kubernetes. Experience working in or with DevOps, SRE, or platform engineering teams. Experience with monitoring and observability tools for hybrid-cloud environments. In Return Based in Cambridge UK, this is an opportunity to join a dynamic, collaborative, and driven team, and provides a genuine opportunity to craft the best outcomes for Arm. Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Cerebras
Bristol, Gloucestershire
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 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.
