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 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 

We are seeking an experienced Staff UEFI Engineer to design, develop, and deploy UEFI-based firmware for Graphcore’s hyperscale AI server platforms. 

This role focuses on developing system firmware responsible for platform initialization, hardware configuration, and reliability features across large-scale data center deployments. 

The Team 

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 

The Firmware Engineering team develops the foundational firmware responsible for platform initialization, hardware configuration, and system reliability across Graphcore’s AI compute infrastructure. 

The team collaborates with silicon engineering, hardware design teams, BMC firmware teams, validation engineers, and platform architects to enable reliable server platform bring-up and operation. 

Responsibilities and Duties 

• Design, develop, and deploy UEFI-based firmware for hyperscale server platforms. 

• Collaborate with ODM partners throughout the design lifecycle from concept to mass production. 

• Integrate UEFI firmware into CI/CD pipelines enabling automated builds, regression testing, and static analysis. 

• Develop firmware functionality supporting platform initialization including CPU, memory, PCIe, and system interconnects. 

• Implement system firmware security features including root of trust, secure boot chains, and signed firmware updates. 

• Develop platform firmware features supporting server reliability, availability, and serviceability (RAS). 

• Build firmware interfaces supporting telemetry, firmware updates, and system management capabilities. 

• Collaborate with hardware, BMC, security, and validation teams to ensure full platform integration. 

• Debug and perform root cause analysis for firmware and hardware issues across lab and production environments. 

Candidate Profile 

Essential 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline. 

• 10+ years of experience developing UEFI or BIOS firmware for server platforms. 

• Strong expertise with UEFI, TianoCore, and firmware architecture design. 

• Experience developing firmware solutions for hyperscale or cloud data center environments. 

• Strong programming skills in C/C++. 

• Deep understanding of DDR memory training, cache coherency protocols, and PCIe subsystems. 

• Strong knowledge of server platform architecture including power delivery, thermal management, sensors, and FRUs. 

• Experience implementing CI/CD pipelines for firmware development. 

• Experience debugging system firmware using logic analyzers, JTAG, GDB, and similar tools. 

Desirable 

• Experience developing UEFI firmware for ARM-based server platforms. 

• Experience with EDK II codebase development and upstream contribution. 

• Experience working with ODM/JDM partners on server platform development programs. 

• Experience delivering firmware for hyperscale cloud deployments and production environments. 

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. 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 researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. As such, we’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.

We are looking for researchers with experience of AI in low-power, edge and embodied scenarios such as robotics, autonomous driving and augmented/virtual reality. We are interested in the training and deployment of multimodal AI models in these contexts, covering areas such as world models, real-time computer vision, generating and reasoning over audio/video streams.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

• Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering).
• Experience in embodied AI, world models or robotics.
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

Desirable:

• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution.
• Conference or workshop submissions in the fields of embodied AI, world models, or robotics.

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

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.   

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. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. 

The Electrical Engineer will play a pivotal role in designing innovative hardware systems for AI/ML applications. We are seeking a motivated Electrical Engineer with 2–4 years of experience in schematic capture, PCB design, and server hardware development. This role includes close collaboration with multiple partners to drive designs from concept through mass production. The ideal candidate is comfortable working across organizational boundaries, ensuring design quality, manufacturability, and on-time delivery in a fast-paced environment.

Responsibilities:

• Develop and maintain electrical schematics for various printed circuit assemblies
• Design and layout multilayer PCBs
• Work closely with partners to review designs, provide technical guidance, and ensure alignment with system requirements
• Drive design for manufacturability (DFM), design for assembly (DFA), and design for testability (DFT)
• Support server subsystem integration
• Participate in design reviews
• Support prototype builds, board bring-up, debugging, and validation
• Track and resolve design issues, including root cause analysis and corrective actions
• Ensure proper documentation, revision control, and engineering change management (ECO/ECN processes)

Requirements:

• Bachelor’s degree in electrical engineering
• 2–4 years of experience in schematic capture and PCB design
• Proficiency with PCB design and schematic tools
• Strong understanding of analog and digital circuit design fundamentals
• Experience with multilayer PCB layout
• Experience with lab equipment (oscilloscope, multimeter, logic analyzer)

Differentiators:

• Experience with server platforms or data center hardware
• Knowledge of power delivery network (PDN) design for high-power systems
• Familiarity with signal integrity and power integrity analysis tools
• Experience with compliance and validation (EMI/EMC, safety, regulatory)
• Exposure to global manufacturing environments and supply chain coordination
• Familiarity with PLM systems and change management workflows

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

About 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 a diverse set of 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

Graphcore is seeking a Senior Architectural Designer to join our Data Center Engineering organization and lead architectural coordination for lab, data center, and office space projects. This role will serve as an owner’s representative and partner with technical leaders, consultants, contractors, and vendors to deliver high-performance workplace and infrastructure solutions. Approximately 10–20% travel may be required.

The Team

The Data Center Engineering team is responsible for delivering scalable, high-performance facilities and workplace environments that support Graphcore’s global operations and AI infrastructure. The team collaborates closely with internal stakeholders and external partners to ensure projects meet operational, technical, and business requirements.

Responsibilities and Duties

• Lead architectural coordination for lab, data center, and office projects from programming through construction and turnover.
• Develop owner requirements, architectural standards, and high-level specifications aligned with Graphcore’s operational and workplace goals.
• Review drawings and specifications for quality, constructability, maintainability, and compliance with project requirements.
• Serve as the owner’s representative for architectural scope, coordinating internal stakeholders, consultants, and contractors.
• Answer RFIs, review submittals and shop drawings, and evaluate substitutions for architectural systems, finishes, and products.
• Identify appropriate products, materials, and approved vendors based on performance, availability, cost, and durability.
• Conduct site walks, mock-up reviews, and punch list activities, and support issue resolution during construction and closeout.

Candidate Profile

Essential:

• Bachelor’s degree or equivalent experience in Architecture, Interior Architecture, Architectural Engineering, or related field.
• Solid understanding of building envelope, partitions, doors/hardware, finishes, code, accessibility, and life-safety considerations.
• Experience with construction administration, including contractor coordination, RFIs, submittals, changes, and field issue resolution.
• Excellent interpersonal skills and ability to work independently in a fast-paced, cross-functional environment.
• Proficiency with Bluebeam, AutoCAD, Revit, and document review processes.

Desirable:

• Experience with critical, laboratory, or server room environments.  
• Licensed architect, NCARB certificate holder, or actively pursuing licensure (this position will not be stamping drawings).
• Familiarity with office, lab, or data center design standards and approved product/vendor lists.
• Experience coordinating with MEP, fire protection, and IT teams in complex facilities.

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 the Hardware System Test Engineering Manager, you will lead the Hardware System Test Team responsible for developing manufacturing test solutions for High Performance Modules (HPM), Server Blades, and Multi-node racks as part of the production assembly process. You will drive the creation of robust test executive software that sequences tests and integrates test content from multiple internal and external sources. You will guide the development of manufacturing test content and test fixtures informed by a deep understanding of silicon, board, and system design. Working cross-functionally with hardware, firmware, and software teams, you will ensure the right tools and functionality exist to efficiently validate product quality at scale. 

The Team 

The Product Test and Diagnosis team is responsible for identifying and diagnosing hardware defects introduced during the manufacturing process. The team defines, develops, and executes an end-to-end test strategy spanning silicon, board-level assemblies, server blades, and rack-scale systems. Testing is performed across the full product lifecycle, including manufacturing, and deployed field environments. 

Product Test and Diagnosis is part of the Manufacturing Operations organisation, which also comprises Manufacturing Technology, Supply Chain, and Quality teams. The group operates as a global team, with engineers based in the UK (Bristol and Cambridge), Taiwan, India, and the United States. 

Responsibilities and Duties 

• Lead and grow a multidisciplinary team of hardware and software test engineers delivering manufacturing test solutions for complex compute systems. 

• Define the manufacturing test strategy and roadmap for High Performance Modules, Server Blades, and Multi-node racks. 

• Own delivery of test executive software used in both manufacturing and lab environments to orchestrate test sequencing, logging, results aggregation, and integration of test content from diverse sources. 

• Partner with internal software, firmware, and platform teams to ensure required hooks, diagnostics, telemetry, and APIs exist to enable effective manufacturing test. 

• Establish best practices for test coverage, traceability, release management, and configuration control of test software and content. 

• Implement metrics and dashboards for manufacturing test (yield, escapes, false fails, coverage, cycle time) and lead continuous improvement initiatives. 

• Drive root-cause analysis of manufacturing failures and field returns, coordinating corrective actions across design, validation, and manufacturing engineering. 

• Own the delivery of manufacturing test fixtures for High Performance Modules and Server Blades, including defining requirements, managing external subcontractors, and ensuring fixtures meet quality, cost, schedule, and production readiness needs. 

• Ensure test solutions are scalable, maintainable, and production-ready, including documentation, training, and support processes for factory deployment. 

• Support supplier/contract manufacturing engagements as needed, including test station readiness, deployment qualification, and ongoing production support. 

Candidate Profile  
 

Essential: 

• Experience developing manufacturing test solutions for high-performance servers, accelerators (GPU-class), or comparable large scale compute hardware. 

• Demonstrated people leadership experience managing a mixed hardware/software engineering team (hiring, coaching, performance management, and team development). 

• Deep technical understanding across silicon, board, and system design sufficient to define effective manufacturing test coverage and guide debug/root-cause analysis. 

• Strong cross-functional collaboration skills, with experience driving requirements and delivery with internal software/firmware/platform teams to enable testability. 

• Hands-on experience using Linux, OpenBMC, and vendor specific test tools, diagnostics, and system-level utilities to test hardware in lab and manufacturing environments. 

• Experience with scripting languages such as Python, Bash, or similar. 

Desirable: 

• Familiarity with rack-scale/multi-node systems, high-speed interconnects, and production qualification of complex assemblies. 

• Experience improving manufacturing KPIs (yield, test time, false fail reduction) through data-driven process and test optimization. 

• Knowledge of open-source tools commonly used for manufacturing test 

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 research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower-level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

•  Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry).
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution

Desirable:

• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

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 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

The System Software group comprises of the Firmware team, the Drivers and Utilities team and, the System QA team. We are responsible for the enablement of all silicon and hardware platforms produced by our colleagues at Graphcore. Our aim is to produce high quality software and APIs that enable the wider software team to utilise our products efficiently and effectively. The Firmware and Drivers teams form the foundation of the Graphcore software stack, upon which all our customer-facing systems are built and run. 

The Team

The Drivers and Utilities team develop kernel and user space software to allow our customers to get maximum performance and utility from our unique hardware. We work closely with the software engineering team developing our Poplar SDK to support machine learning applications and with silicon and hardware engineers to fully exploit the capabilities of our Graphcore IPU solution.

Responsibilities and Duties

• Write code to Graphcore standards
• Ensure all code written has the appropriate unit tests created for it
• Participate in code reviews individually and as part of the team
• Participate in Scrum ceremonies
• Manually test code written by self and others
• Maintain our Continuous Integration system and fix when broken
• Contribute to and take part in technical design discussions with team members

Candidate Profile

Essential

• Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field.
• Previous experience with low-level software including embedded or device drivers. This could be a personal or university project
• Basic understanding of electronics including the ability to read and understand schematics and datasheets
• Introductory experience with any of the following languages: C, C++, Python
• Awareness of Continuous Integration systems such as Jenkins
• Experience using Git for managing source code, raising and reviewing Pull Requests, merging branches

Desirable

• Previously experience with hardware, perhaps with PCI cards or PC motherboards
• Has contributed to open-source projects
• Has designed and built own hardware and controlled it from a host (e.g. Linux-based system)
• Has an interest in how hardware and software platforms interact

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

We are looking for a Graduate Software Engineer to join a team pioneering the development of high-performance machine learning (ML) kernels for a new generation of AI hardware. 

In this role, you will contribute to building optimised compute kernels that support a wide range of ML operators—powering applications from convolutional neural networks (CNNs) to large language models (LLMs). 

You'll leverage low-level programming and hardware-aware optimisation techniques to extract maximum performance and efficiency from modern accelerators. This is a unique opportunity to work at the intersection of ML, numerical computing, and scalable systems.

The Team

This is an exciting opportunity to join an expanding team at Graphcore. The Kernel Engineering team is responsible for delivering high performance compute library to help customers gain the maximum performance from AI hardware.

Responsibilities and Duties

• Supporting the design and implementation of kernels for linear algebra and tensor ops (GEMM, batched GEMM, convolutions, reductions, elementwise and fused operations) in C++
• Profile and optimise for the next generation of AI hardware - threading, cache locality, memory layout, and kernel launch efficiency.
• Support performance and correctness - add microbenchmarks, regression tests, numerics validation
• Debug issues, resolve bugs and generally improve the quality and functionality of the product

About you

You are open-minded and collaborative with interests in performance optimisation and memory-efficient designs, and you are looking to join a team of experts.

You are comfortable to discuss technical tradeoffs, receive feedback and iterate on solutions and you are drawn to technically challenging problems and use analyticals reasoning to navigate unfamiliar domains.

Essential:

• Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field
• Experirence in C/C++11.
• Familiarity with Python or scripting tools for automation and testing.
• Understanding of linear algebra, numerical methods, or scientific computing.
• Good problem-solving skills and ability to work collaboratively in a fast-paced environment.

Preferred Qualifications:

• Courseworks or past experience in using ML frameworks, parallel programming, or code optimisation.
• Exposure to math libraries such as MKL or OpenBLAS.
• Knowledge of performance analysis tools.

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 

As a member of the Modelling team you will contribute to the planning, design, implementation and testing of software implementation of the upcoming AI hardware. You will also help other teams to integrate future versions of hardware and help them to scale out distributed modelling environments. You will report to modelling team manager. 

The Team

The Modelling team forms a part of larger frameworks group – working closely with framework engineers developing Graphcore’s cutting edge AI solution. The Modelling team is also working on the integration of modelling and profiling capabilities into the ML stack. 

Responsibilities and Duties

• Supporting the design, implementation, testing and documentation of the future hardware 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 framework teams to enable fast time to market delivery

Candidate Profile 

Essential:

• Bachelor or Master's degree in Computer Science, Maths, Machine Learning, Data Science, or related field
• Good C++ knowledge
• 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
• Excellent written and verbal communication skills, work well within a multinational team and with multinational customers. Excellent cultural awareness is essential.

Desirable:

• Previous hardware simulation or modelling experience.

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 

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton.  

This role sees you joining our PyTorch team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.  

In this role you will closely collaborate with other engineers, both within the PyTorch team as well as other engineering teams. You will contribute to the delivery of complex, open-ended technical tasks and develop deep expertise in the PyTorch project. You understand the importance of managing code quality and code complexity and balancing this against the team’s goals and deadlines.  

The Team 

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton and in future, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities.  

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.  

Responsibilities and Duties 

• Supporting the design and implementation of new features & maintaining and supporting existing features.  

• Developing and maintaining unit tests, component tests and integration tests.  

• Optimising the software stack to make it more performant for our users.  

• Managing code quality, code complexity and technical debt.  

• Contributing to documentation, including user manuals and tutorials.  

• Conducting code reviews.  

• Resolving regressions, performance issues and software defects.  

• Contribute to continuous improvements to improve ways of working.  

• Working with upstream open-source development teams.  

Candidate Profile  

Essential: 

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

• Experience of Python development.  

• At least one of:  

• Experience of compiler development.  

• Experience of using and/or development of ML Frameworks.  

• Experience in a computationally intensive engineering field.  

Desirable: 

• Demonstrable knowledge of AI/ML.  

• Understanding of computing architectures.  

• Experience of maintaining and supporting a complex code base.  

• Experience in profiling / optimising high performance code.  

• Experience of writing ML kernels.  

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 

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in using machine learning frameworks such as PyTorch and Triton.  

This role sees you joining our Triton team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.  

The Team 

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities. 

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.  

Responsibilities and Duties 

• Supporting the design and implementation of new features & maintaining and supporting existing features. 

• Developing and maintaining unit tests, component tests and integration tests. 

• Optimising the software stack to make it more performant for our users. 

• Managing complex technical tasks with cross-team dependencies. 

• Managing code quality, code complexity and technical debt. 

• Contributing to documentation, including user manuals and tutorials. 

• Conducting code reviews. 

• Resolving regressions, performance issues and software defects. 

• Contribute to continuous improvements to improve ways of working. 

• Working with upstream open-source development teams. 

Candidate Profile 

Essential: 

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

• Hands-on experience with Python/C++ development. 

• Practical experience of compiler development. 

Desirable: 

• Demonstrable knowledge of AI/ML. 

• Understanding of computing architectures. 

• Experience of maintaining and supporting a complex code base. 

• Experience in profiling / optimising high performance code. 

• Experience of using and/or development of ML Frameworks. 

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

We are looking for a UX Design Intern to join our UX team within Product Management. This role is ideal for someone eager to develop their UX and UI design skills while working on complex, technical products. You will contribute to platform interface design, rapid prototyping and user research activities, supported by senior designers and engineers, and grow your impact over time. 

The Team

The UX team supports Product Management at Graphcore to create intuitive and functional prototypes. Using Figma and front-end technologies, these prototypes need to be visually appealing and help developers through the AI/ML software lifecycles, as well as demonstrate a seamless and enjoyable user experience across all platforms and software deliverables. Design plays a key role in ensuring the teams ideas and complex technical workflows are intuitive and usable. 

Responsibilities and Duties

• Design and iterate user interfaces and development tools under guidance, ensuring they support developers' needs
• Contribute to rapid prototyping and testing of ideas
• Contribute to usability research and analysing findings 
• Document and maintain any UX insights 
• Contribute to Decagon, the Graphcore design library, as well as other prototyping element libraries
• Collaborate with engineers, product managers and other teams throughout the development lifecycle 

Candidate Profile

Essential:

• Currently studying a Bachelors/ Master’s degree in UX, Interaction Design, Graphic Design, Computer Science, or a related subject
• Basic experience with design tools such as Figma or Adobe XD
• Strong interest in UX/UI design and user-centred design principles
• Good communication skills and a willingness to learn
• Portfolio fearturing examples of coursework or personal projects (PDF or link)

Desirable

• Exposure to usability testing or user research methods
• Familiarity with Agile or team-based project work
• Understanding of Atomic Design principles 
• Experience with front-end development 
• Basic understanding of AI/ML lifecycle and/or AI/ML trends

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

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

Responsibilities and Duties

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

Skills and Experience 

Essential:

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

Desirable:

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

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

About 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

The System Software group comprises of the Firmware team, the Drivers and Utilities team and, the System QA team. We are responsible for the enablement of all silicon and hardware platforms produced by our colleagues at Graphcore. Our aim is to produce high quality software and APIs that enable the wider software team to utilise our products efficiently and effectively. The Firmware and Drivers teams form the foundation of the Graphcore software stack, upon which all our customer-facing systems are built and run. 

The Team

The Drivers and Utilities team develop kernel and user space software to allow our customers to get maximum performance and utility from our unique hardware. We work closely with the software engineering team developing our Poplar SDK to support machine learning applications and with silicon and hardware engineers to fully exploit the capabilities of our Graphcore IPU solution.

Responsibilities and Duties

• Write code to Graphcore standards
• Ensure all code written has the appropriate unit tests created for it
• Participate in code reviews individually and as part of the team
• Participate in Scrum ceremonies
• Manually test code written by self and others
• Maintain our Continuous Integration system and fix when broken
• Contribute to and take part in technical design discussions with team members

Candidate Profile

Essential

• Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field.
• Previous experience with low-level software including embedded or device drivers. This could be a personal or university project
• Basic understanding of electronics including the ability to read and understand schematics and datasheets
• Introductory experience with any of the following languages: C, C++, Python
• Awareness of Continuous Integration systems such as Jenkins
• Experience using Git for managing source code, raising and reviewing Pull Requests, merging branches

Desirable

• Previously experience with hardware, perhaps with PCI cards or PC motherboards
• Has contributed to open-source projects
• Has designed and built own hardware and controlled it from a host (e.g. Linux-based system)
• Has an interest in how hardware and software platforms interact

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

The System Software group comprises of the Firmware team, the Drivers and Utilities team and, the System QA team. We are responsible for the enablement of all silicon and hardware platforms produced by our colleagues at Graphcore. Our aim is to produce high quality software and APIs that enable the wider software team to utilise our products efficiently and effectively. The Firmware and Drivers teams form the foundation of the Graphcore software stack, upon which all our customer-facing systems are built and run. 

The Team

The Drivers and Utilities team develop kernel and user space software to allow our customers to get maximum performance and utility from our unique hardware. We work closely with the software engineering team developing our Poplar SDK to support machine learning applications and with silicon and hardware engineers to fully exploit the capabilities of our Graphcore IPU solution.

Responsibilities and Duties

• Write code to Graphcore standards
• Ensure all code written has the appropriate unit tests created for it
• Participate in code reviews individually and as part of the team
• Participate in Scrum ceremonies
• Manually test code written by self and others
• Maintain our Continuous Integration system and fix when broken
• Contribute to and take part in technical design discussions with team members

Candidate Profile

Essential

• Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field.
• Previous experience with low-level software including embedded or device drivers. This could be a personal or university project
• Basic understanding of electronics including the ability to read and understand schematics and datasheets
• Introductory experience with any of the following languages: C, C++, Python
• Awareness of Continuous Integration systems such as Jenkins
• Experience using Git for managing source code, raising and reviewing Pull Requests, merging branches

Desirable

• Previously experience with hardware, perhaps with PCI cards or PC motherboards
• Has contributed to open-source projects
• Has designed and built own hardware and controlled it from a host (e.g. Linux-based system)
• Has an interest in how hardware and software platforms interact

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 

We are seeking an experienced AI HW Systems Engineering and Debug Lead to drive system-level debug and bring-up activities for Graphcore’s next-generation AI data center platforms. 

The successful candidate will lead complex debug efforts across hardware, firmware, and software layers for blade and rack-level systems. This role focuses on developing scalable debug strategies, improving debug throughput, and ensuring timely resolution of system-level issues throughout the product lifecycle. 

The Team 

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption 

The Systems Engineering and Validation team ensures Graphcore’s AI compute platforms are fully validated, debugged, and ready for deployment in hyperscale data center environments. 

The team collaborates closely with silicon engineering, system architecture, firmware, operating system, and rack integration teams to identify and resolve system-level issues and drive improvements in validation and debug methodologies. 

Responsibilities and Duties 

• Own and develop AI systems debug methodology and system bring-up strategies for next-generation AI data center platforms. 

• Lead system-level debug and root cause analysis for issues identified during server rack validation, post-silicon validation, and production phases. 

• Drive complex debug efforts across silicon, hardware platforms, firmware, operating systems, and software stacks. 

• Manage and track technical issues, risks, and priorities to ensure program milestones are achieved. 

• Publish debug program indicators and metrics to identify roadblocks and improve debug throughput. 

• Coordinate cross-functional teams including system architecture, silicon, firmware, and validation teams to resolve system-level issues. 

• Lead development and integration of debug tools, scripts, and methodologies to improve debug efficiency. 

• Communicate program status, risks, and technical findings to engineering leadership and stakeholders. 

Candidate Profile 

Essential 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related discipline. 

• 15+ years of experience working on complex systems engineering challenges involving HW/FW/SW debug in server or data center environments. 

• Proven experience leading validation and debug for board, blade, and rack-level hardware platforms. 

• Strong experience debugging OS, firmware, silicon, and hardware issues. 

• Understanding of industry-standard system buses such as PCIe and CXL and their software stacks. 

• Strong knowledge of ARM or x86 CPU architectures, SoC design, memory systems, and power management. 

• Experience with system architecture, validation strategies, and complex system debug methodologies. 

• Strong collaboration, communication, and cross-team coordination skills. 

Desirable 

• Experience designing or deploying AI/ML rack-scale systems. 

• Experience developing at-scale debug methodologies for hyperscale data center systems. 

• Familiarity with data center infrastructure and emerging AI hardware technologies. 

• Experience with rack integration testing and hyperscale deployment readiness. 

• Knowledge of automated validation frameworks, test analytics, and continuous validation practices. 

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

Graphcore’s AI/ML training and inference infrastructure is rapidly scaling to meet the growing demands of AI workloads across mobile, edge, and datacenter environments. This role focuses on optimizing performance across ARM-based architectures and large-scale distributed systems, ensuring efficiency, scalability, and reliability across the full hardware-software stack.

The Team

The System Engineering Performance team architects and optimizes high-performance infrastructure for large-scale datacenter deployments. The team works across hardware, software, networking, and system architecture to deliver cutting-edge AI solutions and ensure optimal system performance at scale.

Responsibilities and Duties

• Analyze ML models’ compute and memory requirements using roofline analysis and simulations
• Collaborate across hardware and software teams to optimize large-scale AI workloads
• Benchmark, monitor, and troubleshoot system performance across distributed systems
• Optimize communication stacks including MPI, NCCL, UCX, RDMA, and networking fabrics
• Profile and optimize AI workloads, focusing on performance bottlenecks
• Develop high-quality, ARM-compatible code and documentation

Candidate Profile

Essential:

• BS/MS in Computer Science, Electrical Engineering, or related field
• Experience with distributed systems and communication libraries (MPI, NCCL, UCX, libfabric)
• Strong programming skills in C++ and Python
• Experience profiling and optimizing HPC or AI/ML workloads
• Familiarity with ML benchmarks such as MLPerf

Desirable:

• Experience with GPUs or accelerated computing architectures
• Knowledge of HPC networking and interconnect technologies (InfiniBand, RoCE)
• Familiarity with ML frameworks such as PyTorch or TensorFlow
• Understanding of ARM architectures and toolchains
• Strong debugging, profiling, and performance optimization skills

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.  

The Role:

We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment.

You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams.

Responsibilities:

• Define and lead post-silicon validation strategy
  Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability.
• Drive cross-domain debug and issue resolution
  Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable.
• Promote collaboration and shared understanding
  Work closely with design, software, and validation teams to align on quality objectives and debug priorities. Use data-driven insights and clear communication to maintain focus and alignment across teams.
• Advance automation and scalable validation
  Encourage the use of emulation, prototyping, and large-scale validation infrastructure to improve coverage and reduce time to debug.
• Support continuous improvement
  Foster a culture that values learning, transparency, and improvement in validation methods, automation, and analysis.
• Engage with leadership and customers
  Provide clear and concise updates on validation progress, risks, and quality indicators to executive teams and key partners. Contribute to product readiness assessments and roadmap decisions.

About you:

• A systems thinker comfortable working across hardware, software, and integration boundaries.
• A collaborative leader who builds trust and alignment across diverse teams.
• Skilled in technical problem solving and debugging complex post-silicon issues.
• A clear communicator who can simplify complexity and support sound decision-making in fast-paced environments.
• Committed to developing people and promoting an inclusive, high-performing team culture.

Qualifications:

• Bachelor’s degree in Electronic Engineering or equivalent; Master’s preferred.
• 20+ years in silicon, system, or platform validation, including 10+ years in technical leadership.
• Proven experience leading post-silicon validation and bring-up for complex SoCs (AI, GPU, or CPU).
• Strong understanding of SoC architecture, coherency protocols, power management, and interconnects.
• Expertise in debug tools, DFT infrastructure, and validation automation frameworks.
• Proficient in C/C++, Python, and Linux-based environments; experience with large-scale validation clusters is an advantage.
• Excellent communication, collaboration, and stakeholder management skills.

About Us 

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.   

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. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.    

Role Description 

Graphcore is seeking a highly organized and technically knowledgeable Program Manager to lead Graphcores asset, material, and inventory management processes within our R&D infrastructure. This individual will build and operate the end-to-end material lifecycle that supports our engineering labs and data centers—ensuring that every component, from GPUs and custom accelerators to cabling and spares, is tracked, delivered, and ready when needed. In this role, you will create the frameworks, tools, and workflows that ensure reliability, compliance, and operational excellence across our global lab network. 

Key Responsibilities 

• Develop and implement a comprehensive asset management framework, including processes, tools, and governance standards. 

• Lead inventory planning, delivery scheduling, and tracking for AI/ML hardware, HPC systems, and supporting infrastructure. 

• Establish and lead on-site spares programs across all labs to ensure continuity of operations. 

• Be responsible for the full material lifecycle, from procurement to asset destruction and secure disposal. 

• Collaborate with supply chain, facilities, IT, and engineering teams to maintain synchronization of hardware deliveries, records, and readiness. 

• Design dashboards and reports to monitor asset utilization, inventory health, and audit compliance. 

• Develop training and documentation to ensure consistent implementation of asset policies across global sites. 

• Partner with trade compliance and security teams to ensure sensitive or export-controlled materials are tracked appropriately. 

Required Skills and Experience: 

• 7+ years of experience in hardware operations, inventory or asset management, or supply chain management in a technology or engineering environment. 
• Engineering degree required

• Strong background in hardware lifecycle management—preferably in labs, datacenters, or HPC environments. 

• Proven experience implementing asset management systems or CMDBs (ServiceNow, Odoo, NetBox, or similar). 

• Deep understanding of material flow, logistics, and traceability for technical infrastructure. 

• Strong analytical skills and proficiency with data tools (e.g., Excel, Power BI, Smartsheet). 

• Excellent communication and collaboration skills across technical and operational teams. 

• Demonstrated ability to design and implement scalable, repeatable processes. 

Preferred Qualifications 

• Experience working with AI/ML or high-performance computing (HPC) environments. 

• Familiarity with export control tracking, ITAR/EAR compliance, or asset chain-of-custody. 

• Prior experience in R&D lab operations, data center environments, or engineering infrastructure programs. 

• PMP, Lean Six Sigma, or equivalent certification a plus. 

Benefits  
In addition to a competitive salary, Graphcore offers a competitive benefits package. 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  

The Product Test and Diagnosis team requires more expertise and experience in the area of board / PCBA hardware test as part of our mission to deliver the high quality manufacturing test solutions that our advanced technology products require. The role requires close interaction with the hardware design team and other parts of the PTD team in order to define and develop appropriate test solutions using techniques such as boundary scan and embedded functional test.   

The Team

The Product Test and Diagnosis team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. 

Responsibilities and Duties 

• Analysis of PCB design testability
• Analysis of PCB design susceptibility to manufacturing defects
• Definition and development of test solutions based on that analysis
• Deployment and support of tests in factory and field environments 

Candidate Profile  

Essential:  

• Experience in manufacturing test of advanced electronic systems
• Thorough understanding of the fundamentals of electronics
• Thorough understanding of SMT / PCB manufacturing processes and failure mechanisms
• Thorough understanding of JTAG 1149 boundary scan test techniques
• Experience in the local and remote use of test instruments (Oscilloscopes, DMM's, Clock generators, SMU's, PSU's, etc.)
• Ability to work with internal teams such as software, silicon design and hardware design
• Ability to work with external board test partners
• Ability to solve problems in complex electronic systems
• Good communication skills 

Desirable 

• Several years of experience in a relevant environment 
• Appreciation of AOI and AXI process capability.
• Experience in programming and using board test systems including Bed -of-nails ICT systems
• Experience in the implementation of ISP and OBP solutions  

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. We develop hardware, software and systems infrastructure that unlock the next generation of AI breakthroughs and enable the widespread adoption of AI solutions across every industry. 

As part of the SoftBank Group, we are part of a network of companies building some of the world’s most transformative technologies. Together, we share an ambitious vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. 

Our teams bring together diverse perspectives across AI research, silicon design, software engineering and systems architecture. We combine deep expertise with a practical, collaborative approach to solving complex problems and turning ideas into real-world impact. 

Job Summary 

Reporting to the Head of Data & Transformation, the Business Transformation Lead is a senior individual contributor responsible for shaping and delivering complex, cross-functional change across systems, data and business processes. This role leads high-impact transformation work from discovery through implementation, combining strategic thinking with hands-on execution to improve how Graphcore operates and scales. 

Operating across business and technology domains, you will translate ambiguity into clear direction, define target outcomes, assess solution options and work closely with delivery teams to implement change. You will also provide guidance and structure to business analysts contributing to initiatives, and partner closely with a project manager to help coordinate and deliver projects effectively. You will act as a trusted partner to stakeholders, bringing structure, technical insight and practical problem-solving to initiatives that span multiple functions. 

The Team 

The Data & Transformation team sits within Graphcore’s broader business operations and technology environment. We are responsible for driving enterprise-wide change across systems, data and processes, helping the business work more effectively, make better decisions and scale in a sustainable way. 

We partner closely with teams across Finance, People, IT and other operational functions to identify opportunities, design improved ways of working and deliver technology-enabled transformation. Our work spans business analysis, process design, data improvement, solution shaping and change delivery. 

Responsibilities and Duties 

• Lead complex transformation initiatives across multiple business domains, from discovery and problem definition through to implementation and embedding. 

• Define clear problem statements, scope, success measures and delivery approaches aligned to business priorities and operational goals. 

• Partner with senior stakeholders to align on outcomes, priorities, trade-offs and decision-making, building momentum across cross-functional programmes. 

• Analyse current processes, systems and data flows to identify root causes, inefficiencies, risks and opportunities for improvement. 

• Design scalable end-to-end business processes, operating models, governance approaches and controls that support effective execution. 

• Evaluate solution options, including process, system and data changes, balancing business value, technical feasibility, integration complexity and long-term maintainability. 

• Work hands-on with data, workflows and system requirements, using tools such as SQL, Python or low-code platforms to explore issues, validate assumptions, prototype ideasand support solution design. 

• Translate business needs into clear requirements, user stories, process maps, data definitions and acceptance criteria that enable efficient delivery. 

• Collaborate closely with technical teams to shape solutions, resolve design questions and ensure alignment across applications, integrations and data structures. 

• Support delivery through build, test and release activities, helping teams prioritise backlogs, clarify requirements and maintain focus on measurable outcomes. 

• Provide day-to-day guidance and support to business analysts working across transformation initiatives, helping to raise quality, consistency and delivery effectiveness. 

• Partner closely with a project manager to support planning, coordination, dependency management and execution across complex projects. 

• Define and track KPIs and other success measures to assess impact, inform decision-making and drive continuous improvement. 

• Lead change readiness activities, including adoption planning, documentation, knowledge transfer and transition into business-as-usual operations. 

• Establish and promote strong transformation and analysis practices, raising the quality of delivery across initiatives and supporting colleagues through coaching and practical guidance. 

Candidate Profile 

Essential 

• Experience leading complex, cross-functional business transformation initiatives involving systems, data and process change. 

• Proven ability to operate at both strategic and delivery levels, shaping direction while remaining close to the detail. 

• Strong stakeholder management and influencing skills, with the ability to build alignment across senior business and technical audiences. 

• Experience supporting or guiding other analysts and working closely with project or programme management to deliver complex change. 

• Experience defining target operating models, business processes, governance approaches and success measures. 

• Strong business analysis capability, including requirements management, process mapping, problem structuring and solution assessment. 

• Practical technical fluency in areas such as data analysis, systems thinking, integrations or automation. 

• Hands-on experience using tools such as SQL, Python or equivalent approaches to analyse data, test ideas or support solution development. 

• Ability to work effectively in ambiguity, turning complex problems into clear, actionable plans. 

• Experience partnering with delivery teams across build, testing, rollout and adoption phases. 

• Strong written and verbal communication skills, with the ability to adapt messages for different audiences. 

Desirable 

• Experience in a high-growth or technology-led environment. 

• Experience working across enterprise domains such as Finance, People, IT or business operations. 

• Familiarity with SaaS implementation, vendor selection or process automation initiatives. 

• Experience with data governance, data quality improvement or migration activities. 

• Familiarity with cloud-based platforms and modern enterprise application ecosystems. 

• Experience using AI-assisted tools or approaches to improve analysis, delivery or operational effectiveness. 

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

We are seeking a Compliance Manager to define, implement, and scale security and compliance frameworks spanning our global lab environments. This role will focus on securing sensitive hardware, enforcing access controls, and ensuring engineering data and infrastructure meet required compliance standards.

You will play a meaningful role in enabling secure AI hardware development by establishing robust processes around lab zoning, asset tracking, and network segmentation while partnering with engineering teams across multiple locations.

The Team

You will be part of a cross-functional security and infrastructure team supporting Graphcore’s international engineering centers, including the new AI Engineering Campus in Austin.

The team works closely with hardware engineers, IT, and security stakeholders to ensure compliance controls are embedded into lab environments and operational workflows.

Responsibilities and Duties

• Define and implement physical access controls, including lab zoning and restricted areas
• Ensure sensitive hardware is secured and not exposed within lab environments
• Enforce network division and permission management across mixed infrastructure environments
• Coordinate hardware asset monitoring, inventory oversight, and chain-of-custody activities
• Support secure lab bring-up and infrastructure deployment activities
• Implement and scale compliance controls across global engineering labs
• Partner with engineering departments to ensure secure handling of engineering data through approved systems
• Supervise and improve compliance with internal security policies and external standards
• Contribute to the development of secure infrastructure practices within AI and hardware environments

Candidate Profile

Essential:

• Hands-on experience implementing physical access control and lab zoning
• Having worked in labs, data centers, or hardware engineering environments
• Practical experience with network segmentation and access control
• Experience running hardware asset tracking, inventory, and custody
• Experience working in secure infrastructure or lab bring-up environments
• Strong understanding of operational security controls in technical environments

Desirable:

• Exposure to export-controlled environments
• Experience in AI, HPC, semiconductor, or hardware validation labs
• Familiarity with BMC / out-of-band (OOB) networks and rack-level infrastructure
• Solid understanding of ISO 27001, SOC 2, or NIST frameworks (practical application preferred)

About Graphcore

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

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

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

The Person 

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

The Role: 

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

Responsibilities: 

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

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

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

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

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

• Generate structural test vectors, analyze and improve test coverage 

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

Requirements: 

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

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

• Experience in MBIST and BISR implementation and verification is desired 

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

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

• Experience in Scan based testing and industry standard ATPG tools 

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

• Very good knowledge of Digital Integrated Circuits and Systems 

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

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

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

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

• Great team working and communication skills 

Academic Credentials 

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

Benefits: 

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

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

About Graphcore 

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 

We are looking for a Director of Software Architect to lead the architectural vision of the software stack for the Graphcore ML accelerator.

In this role, you lead an architecture team that will define the software architecture for Graphcore products.

You are a thought leader and an advocate for our long-term technical vision, engaging with project stakeholder, external partners and customers to ensure alignment and clarity.

You are an excellent communicator, and you proactively convey architectural decisions and changes as the product evolves.

The Team 

The software architecture team is responsible for defining, maintaining and communicating the overarching architecture of our software stack, from firmware to ML frameworks.

The team works within the wider software organisation, partnering closely with engineering teams who deliver against this architectural vision. 

Responsibilities and Duties

• Communicate the long-term technical vision & strategy for the software architecture
• Define the processes and procedures to define, agree and maintain the software architecture.
• Act as an advocate and thought leader for the long-term technical vision across the organisation.
• Advocate for the user experience to ensure that the software architecture results in a software stack that is easy to use.  
• Manage technical and project-level architectural risks. 
• Work closely with engineering, product, leadership, and partners to ensure alignment between business goals and architectural vision. 
• Inspire, grow, mentor and develop the software architecture team.
• Clearly communicate the trade off’s for architectural decisions that have company wide impacts.
• Stay informed about trends and developments in the ML/software ecosystem.

Candidate Profile

Essential:

• Proven experience in a leadership role.
• Experience of working with silicon and hardware teams.
• Technical expertise in the ML accelerator software space.
• Excellent communication skill, both written and verbal. 
• Collaborative mindset and ability to influence. 
• Pragmatic approach to decision making, being very aware of trade-offs and implications. 
• Experience in one or more of these technologies; Firmware, Drivers, ML frameworks (PyTorch, Triton, etc), Collectives, HPC, Tooling, C & C++, CPU architectures.

Desirable

• Demonstrable experience in a previous architecture role. 
  
  

  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

Graphcore

Senior Principal AI SoC Validation (Bring-up lead)

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.  

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. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.  

We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment.

You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams.

Key responsibilities

• Define and lead post-silicon validation strategy
  Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability.
• Drive cross-domain debug and issue resolution
  Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable.
• Promote collaboration and shared understanding
  Work closely with design, software, and validation teams to align on quality objectives and debug priorities. Use data-driven insights and clear communication to maintain focus and alignment across teams.
• Advance automation and scalable validation
  Encourage the use of emulation, prototyping, and large-scale validation infrastructure to improve coverage and reduce time to debug.
• Support continuous improvement
  Foster a culture that values learning, transparency, and improvement in validation methods, automation, and analysis.
• Engage with leadership and customers
  Provide clear and concise updates on validation progress, risks, and quality indicators to executive teams and key partners. Contribute to product readiness assessments and roadmap decisions.

About you

• A systems thinker comfortable working across hardware, software, and integration boundaries.
• A collaborative leader who builds trust and alignment across diverse teams.
• Skilled in technical problem solving and debugging complex post-silicon issues.
• A clear communicator who can simplify complexity and support sound decision-making in fast-paced environments.
• Committed to developing people and promoting an inclusive, high-performing team culture.

Qualifications

• Bachelor’s degree in Electronic Engineering or equivalent; Master’s preferred.
• 15 - 20 years in silicon, system, or platform validation, including 5-10 years in technical leadership.
• Proven experience leading post-silicon validation and bring-up for complex SoCs (AI, GPU, or CPU).
• Strong understanding of SoC architecture, coherency protocols, power management, and interconnects.
• Expertise in debug tools, DFT infrastructure, and validation automation frameworks.
• Proficient in C/C++, Python, and Linux-based environments; experience with large-scale validation clusters is an advantage.
• Excellent communication, collaboration, and stakeholder management skills.

Why Join Us

This is an opportunity to play a central role in developing an advanced AI compute platform that pushes the boundaries of performance and efficiency. You will be part of a highly skilled and motivated team, working on technology that will have a significant impact across future AI systems.

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 Director of Silicon Logical Design to lead and scale our Logical Design group within the Silicon department. This role is accountable for the overall strategy, technical direction, execution quality and team development for Graphcores microarchitecture and RTL design efforts. 

The Director will be responsible for ensuring that our logical design methodologies, architectures and RTL implementations meet world class standards for performance, power, area, and schedule. This leader will partner closely with Architecture, Physical Design, Verification, DFT and Program Management teams to ensure successful, predictable silicon delivery aligned with Graphcores long term product roadmap. 

The Team 

The Logical Design team deliver the micro-architecture and RTL that realise our advanced chip architectures. As Director, you will guide this multi site team, strengthen cross functional collaboration, and drive the evolution of our design flows and capabilities. 

Responsibilities and Duties 

Leadership & Strategy 

• Define and execute the strategic roadmap for Logical Design, ensuring alignment with Graphcores silicon and product strategy. 

• Lead, grow and mentor a high performing RTL/micro architecture design organisation. 

• Establish and implement best in class design methodologies, documentation standards and quality metrics. 

• Drive continuous improvement across team structure, workflows, tooling, and design processes. 

Technical Ownership 

• Provide technical oversight of micro architecture specification and RTL development across all major blocks and subsystems. 

• Guide architectural feasibility studies, contribute to architectural trade offs and micro architecture definition. 

• Oversee the integration of third party IP, complex application specific blocks, and high performance custom designs. 

• Ensure robust design sign off through high quality linting, synthesis, CDC/RDC, timing closure and coverage metrics. 

Cross-Functional Collaboration 

• Partner closely with Physical Design, Verification, DFT, Architecture and Program Management teams to ensure cohesive planning and execution. 

• Foster strong communication across teams and global sites, ensuring alignment on priorities, risks and deliverables. 

• Support silicon bring-up and debug efforts by providing expert guidance and deep understanding of RTL behaviour and architecture. 

Execution & Delivery 

• Own delivery of high quality, on schedule RTL for multiple parallel silicon programs. 

• Establish scalable project planning and tracking practices, including resource planning and risk mitigation. 
• Champion design automation and infrastructure improvements to accelerate productivity and improve design quality. 

Essential Skills & Experience 

• Degree in Computer Science, Electrical Engineering or a related field; advanced degree preferred. 

• Extensive experience in digital logical design, micro-architecture and RTL development for large scale, high performance silicon projects. 

• Proven success leading and developing technical teams in a semiconductor environment. 

• Deep expertise in SystemVerilog or VHDL and familiarity with modern digital design flows. 

• Strong ability to diagnose and resolve complex design issues, including via scripting/programming (Python, Tcl, etc.). 

• Demonstrated excellence in cross functional leadership and communication across global teams. 

• Strong organisational skills with ability to manage multiple priorities and drive execution in fast-paced environments. 

Desirable Experience 

• Processor or accelerator micro architecture. 

• High-speed serial interfaces and complex, high bandwidth IP blocks. 

• Arithmetic pipeline design and floating point datapaths. 

• Advanced synthesis, timing analysis, power analysis, and logical equivalence checking. 

• Design-for-test methodologies. 

• Power integrity and silicon device level understanding. 

• Experience with silicon bring-up and post-silicon validation. 

• Program planning and multi-project execution leadership. 

About Graphcore 

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

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

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

 The Team 

The Verification team sits within the Silicon Design organisation. We ensure that the RTL delivered by Logical Design and used by Physical Design team implements Graphcore’s architectural needs and meets the company's quality standards.  As a Director of Silicon Verification, you will help lead this multi-site organisation, define verification strategies across multiple silicon programs, and drive best in class execution to ensure high-quality, high-performance silicon delivery. 

Role Summary 

We are seeking a proven leader to help direct Graphcore’s verification strategy and methodologies. This role sets direction for the verification lifecycle including - planning, infrastructure, execution, coverage closure, debug strategy and sign-off for Graphcore’s complex, high performance AI accelerators. 

Reporting to the Senior Director of Verification the Director will partner closely with other teams such as Architecture, Logical Design, Physical Design, DFT, Systems as well as Program Management teams to ensure accurate implementation, accelerated debug cycles, high coverage confidence and predictable silicon delivery. 

 
Responsibilities 

 Leadership & Strategy 

• Define the long-term vision, roadmap and strategy for silicon functional verification across all Graphcore silicon programs. 

• Build, lead, and develop a high performing, globally distributed verification organisation. 

• Establish scalable methodologies, leading edge verification techniques, and best practice processes. 

• Drive automation, tooling and infrastructure evolution to improve productivity and verification quality. 

• Evaluate emerging tools and technologies and drive adoption to deliver competitive advantage. 

 Technical Ownership 

• Own verification planning, execution and sign off for all RTL blocks and top-level SoCs. 

• Oversee definition of test plans including functional coverage targets. Drive close through prioritisation of test content and coverage signoff. Iterate plans to close verification gaps. 

• Direct debugging strategies, triage processes and root-cause analysis workflows to enhance team productivity. 
  
  
• Steer integration of verification technologies including formal methods, simulation acceleration/emulation and system level validation. 

Cross Functional Collaboration 

• Ensure high quality feedback to other functions within the Silicon Team.  

• Partner with Architecture to influence and refine specifications for verifiability and risk reduction. 

• Collaborate with Logical Design to align on design intent, architectural corner cases and test scenarios. 

• Work closely with Physical Design and DFT teams to ensure coherent verification of interfaces, timing assumptions and test structures. 

• Lead post-silicon debug alignment where needed, ensuring learning cycles feed back into RTL and verification methodology. 

 
Execution & Delivery 

• Deliver verification sign off on schedule across multiple parallel projects. 

• Guide program risk management, resource planning, milestone creation, and verification budgeting. 

• Drive consistent metrics-based verification management (structural and functional coverage, bug funnels, simulation performance, CI health, etc.). 

• Provide scheduled reports into program management on progress with associated metrics based collaterol. 

Essential Skills 

• Demonstrated ability to lead, scale and inspire high performing verification teams. 

• Extensive verification leadership experience within CPU, GPU, ASIC or SoC environments. 

• Deep understanding of modern verification methodologies, flows, and infrastructure. 

• Strong capability in SystemVerilog, Python, C++ and Linux-based workflows. 

• Expertise in diagnosing complex logic issues across RTL, testbench and system level domains. 

• Strong communication, collaboration and stakeholder management skills across global sites. 

Desirable Skills 

• UVM and advanced SystemVerilog Assertions (SVA). 

• Experience with assembly languages and compiler toolchains (LLVM, GCC). 

• Knowledge of DVCS tools (e.g., Git). 

• Familiarity with distributed compute systems (SGE or other DRMS). 

• Experience with XML, XPath/XSLT. 

• Web technologies such as HTML/DOM, JavaScript, SQL. 

• Exposure to emulation, FPGA prototyping, or formal verification tools. 

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.

Salary Range: PLN 350,700 - 474,400 + Benefits + Equity

Subject to alignment to the responsibilities and duties of the role.

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 
You will contribute to the architecture, implementation and deployment of highly scalable management and observability solutions for AI infrastructure built using our next-generation products.  Covering monitoring, observability, control, and data center infrastructure management, you will work with software, cloud and customer-facing teams, to establish first-hand knowledge of these solutions, creating proof-of-concepts, reference designs and integrations with third-party tooling.

Your team will work with product, architecture and other delivery teams to ensure that functionally complete, simple to deploy, and easy to use solutions are deployed internally to support engineering efforts and supply reference designs to our customers.

Responsibilities and Duties

• Contribute to all phases of overall product development, from product definition, architecture, and design, through implementation, debugging, testing and early customer support.
• Contribute to the design and implementation of fault-remediation solutions at scale.
• Implement multi-component integrations based on Graphcore and third-party technology stacks, from data ingestion to decision making, ensuring seamless management, monitoring and UI.
• Create reference designs including documentation, configuration files, scripts, source code, etc.
• Deploy solution(s) internally for use by our engineering teams to aid debugging, performance analysis, benchmarking, test/QA, etc. at all scales.
• Ensure solutions are properly tested by working with the development and QA teams to enhance unit testing and ensure a comprehensive test plan is in place.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

Skills and Experience 

• BSc or MSc degree in Computer Engineering, Computer Science, or related degree or equivalent experience.
• Demonstrated success in architecting and implementing scalable, performant, reliable cluster management systems including telemetry collection & analysis engines.
• Good understanding of computer systems architecture (CPU, GPU, DPU, server platforms).
• Experience with programming and debugging skills for server platforms.
• Expertise of in-band and out-of-band management architectures and working knowledge of associated tools.
• Detailed knowledge and experience of working with Redfish APIs.
• Experience with large-scale telemetry datasets, time series databases, down-sampling techniques, and creating actionable dashboards.
• Strong and demonstrable skill in at least one of C/C++/Go and Python.
• Excellent written and verbal communication skills.

Desirable:

• 10+ years of relevant post-degree experience.
• Familiarity with Open Compute (OCP).
• Familiarity with DMTF standards and working groups.
• Knowledge of data center networking and monitoring best practices.
• Knowledge of commercial observability solutions like Datadog, Dynatrace or Splunk.
• Knowledge of monitoring, observability and management solutions in use by hyperscalers.
• Knowledge of declarative management systems.

Benefits

In addition to a competitive salary, 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.

Sponsorship

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

Graphcore is a UK-headquartered semiconductor and AI compute company, now part of SoftBank’s global AI ecosystem. Our headquarters are in Bristol, with offices in London, Cambridge, Poland, Germany, and Taiwan. In 2026, we opened new key locations in India and US with the aim to build out key engineering and operational hubs to support our next phase of growth. 
 
Our mission is to build the future of AI compute – and that depends not only on exceptional engineering but also on an outstanding People function. As we scale globally, the People team is focused on building strong operational foundations and a great employee experience everywhere we operate. 
 
You will be part of the Global People Team, working closely with People Partners and collaborating with People Operations, Talent Acquisition, Finance, Legal, and Workplace teams. 

Job Summary 

The Regional People Partner Lead – US will act as the senior People partner for the US region, supporting leaders and managers while establishing and scaling the people model locally. the regional People model. 
 
The role combines strategic business partnering, employee relations leadership and operational ownership, acting is is a balanced business partnering role, combining leadership support, organisational effectiveness, and regional ownership. 
 
The role will act as the key interface between the US organisation and the global People team, ensuring local needs are translated into scalable solutions. 
 
You will support The role will senior leadership across provide primary People support to the Systems Engineering and the broader US population organisation, including senior leadership based .primarily in Austin and Milpitas, while working across a and support a distributed workforce across US states.across multiple US locations. 
 
This is a role for someone who can balance strategic thinking with hands-on execution, operating effectively in a scaling, fast paced environment.   

As we build at the cutting edge of AI compute, this role requires pace, pragmatism, and a strong bias to action. 

You will be a act as a visible and trusted People presence across the US region. 

Responsibilities and Duties 

Business Partnering 

• Partner closely with leaders, including senior Systems Engineering leadership, acting as a trusted advisor 
• Coach and develop managers to build strong leadership capability 
• Support org design, workforce planning and change initiaitives. 
• Provide coaching and guidance to managers 
• Build manager capability 
• Build strong relationships across the business to understand the needs and improve the employee experience.  
• Support organisational change 

 
 
Regional Ownership and Build 

• Act as the primary People contact for the US region 
• Act as the on-the-ground People partner across multiple locations 
• Establish and evolve the US regionaoperating l model as the location scales. 
• Hire a Support hiring of People Operations Advisor – to ensure execution of  day to day people operations and Graphcore People Policies.onboarding, offboarding.
• Support transition from secondees and contractors 

 
 
Employee Relations and Compliance 

• Lead and resolve 
• Support and manage employee relations cases including performance, grievances and conflict resolution. 
• Advise leaders on risk, complaince and best practice. 
• Act as regional expert on US and California employment law [FMLA, ADA, CRFA] 
• Coach managers through difficult conversations 
• Ensure compliance with US employment law 
• Partner with Legal and external providers (i.e Sequoia One (PEO) 

 
 
Operations and Vendor Alignment 

• Work with People Operations to deliver lifecycle processes 
• Partner with PEO Sequoia One for benefits and compliance 
• Ensure effective use of PEO model and alignment alignment with global processes 
• Collaborate with Finance, Legal, Workplace and Talent Acquisition 
• Ensure compliance across multi-state operations 

 
 
Insight, Scale  and Continuous Improvement 

• Identify trends and translate into actionable improvements.
• Feed insights into global strategy 
• Support continuous improvement – simplications and scalability of process 

Candidate Profile 

Essential 

•  (8-12 + years) Strong People Partner and Leadership experience in the US 
•  Experience in a multi-state, scaling environments 
•  Strong knowledge of US and California employment law
•  Strong knowledge of California employment law
•  Ability to influence senior stakeholders
•  Ability to travel to other US sites and occasional international travel to HQ corporate office 

Desirable 

• Experience in software, technology or AI
• Experience supporting engineering teams 
• Experience in multi-site environments 
• Experience with PEO models 
• Experience working for an international Organisation  

Mindset and Approach 

• Acts as a Trusted partner to leaders and employees
• Comfortable in ambiguity and scaling fast-paced environments 
• Builds accountability and ownership 
• Demonstrates urgency and a “say yes” mindset 
• Thrives at the cutting edge of technology
• Pragmatic with bias to action
• Balances pragmatism with compliance 
• Focused on enabling high performance employee experience

Salary Range: PLN 224,400 - 303,600

Graphcore is a UK-headquartered semiconductor and AI compute company, now part of SoftBank’s global AI ecosystem. Our headquarters are in Bristol, with offices in London, Cambridge, Poland, Germany, and Taiwan. In 2025, we are expanding into India with a new entity and office based in Bengaluru — a key hub for engineering, operations, and growth.

Our mission is to build the future of AI compute – and that depends not only on exceptional engineering but also on an outstanding People function. As we scale globally, the People team is focused on building strong operational foundations and a great employee experience everywhere we operate.

The role will predominately be partner to the Poland Office in Gdansk. With currently 50 employees. 

You will be part of the Global People Team, reporting into the Director of People business partners in the UK, and collaborating with the wider People Operations, Business Partner, and Talent teams.

Job Summary

You will own the delivery of all People Enablement activities for our Poland entity, from onboarding to offboarding, while ensuring we meet all statutory, policy, and compliance requirements.

This role will act as the point of contact for Polish employees and managers, collaborating closely with global colleagues in People, Finance, Workplace, and Engineering to ensure smooth operations and a consistent global experience.

As a trusted advisor to managers and engineers, you will help them build and grow great teams — providing practical guidance, ensuring strong people practices, and fostering an inclusive and high-performance culture.

You will work closely with the senior management team within Gdansk currently supporting day to day people activities, providing advice within company policy guidelines and ensuring compliance is maintained. You will also partner with key vendors including Vistra (payroll and HR administration), Howdens (benefits broker), and local compliance partners.

Responsibilities and Duties

Operational Delivery

• Lead delivery of all People Operations activities for the Poland entity – onboarding, employment changes, HRIS updates, benefits enrolments, and leavers.
• Partner with managers and engineers to enable smooth onboarding, transitions, and people processes that support team growth and engagement.
• Oversee payroll inputs and monthly cycles in partnership with Finance and Vistra.
• Maintain and update Poland employee files, HR registers, and statutory records in line with local requirements.
• Support senior management team with advice in all people related activities, such as sickness absence, wellness initiatives and company training

Compliance and Governance

• Ensure compliance with Polish labour law, statutory benefits, and record-keeping obligations.
• Support the implementation of a works council and work to establish required regulations and remuneration 
• Liaise with auditors, and regulators on People-related compliance and filings.
• Maintain awareness of evolving employment legislation and update policies and processes accordingly.

Vendor and Partner Management

• Act as the day-to-day relationship lead for Vistra (payroll and HR services), Howdens (benefits broker), and other local providers.
• Partner with Finance, Workplace, and Legal teams to ensure alignment on operational and compliance matters.
• Manage renewals, service improvements, and issue resolution with all vendors.

Employee and Manager Experience

• Provide high-quality employee support across the lifecycle – contracts, letters, benefits queries, and general HR advice.
• Support and coach managers and engineers on People policies, employee relations, and day-to-day management practices to help build healthy, high-performing teams.
• Support employee engagement activities, wellbeing initiatives, and policy awareness.
• Promote consistency with Graphcore’s global People processes while adapting for local needs.
• Champion our values of collaboration, respect, and continuous improvement.

Process Improvement and Projects

• Build, document, and refine local HR processes, workflows, and templates.
• Identify opportunities to automate or simplify manual steps through HRIS tools and data.
• Support global People initiatives such as policy alignment, HRIS upgrades, and process mapping.
• Contribute to global People Enablement discussions, sharing Poland insights and improvements.

Candidate Profile

 Essential

• [10 years plus] strong Experience in HR Generalist Lead/Business Partner roles
• Strong working knowledge of Poland statutory requirements and employment law.
• Experience managing HR vendors and external partners (e.g. payroll, benefits, HR services).
• Skilled in HR systems and data management.
• Proven ability to manage workflows, prioritise effectively, and deliver high-quality outcomes under time pressure.
• Excellent communication and relationship-building skills across cultures and time zones.
• Comfortable with ambiguity and change – able to build structure while scaling rapidly.

Desirable

• Experience working in a global or technology/engineering environment.
• Exposure to setting up or supporting new entities or international offices.
• Familiarity with global HRIS, benefits, and compliance frameworks.

Mindset and Approach

• Values collaboration over hierarchy and builds trust through openness and involvement.
• Is confident and knowledgeable, yet curious and humble enough to learn from others.
• Enjoys working in a fast iterative environment – building while flying.
• Balances structure with pragmatism, and compliance with a people-first approach.
• Motivated by helping managers and engineers build great teams.

Principal Embedded SW/FW Engineer (Bringup)

Salary $241,100 - $326,100 + Phantom Equity + Benefits 

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.  

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. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing.  

We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. 

The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.  

Responsibilities and Duties 

• Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon 
• Deploy silicon validation tests on first silicon and debugging them 
• Develop automated test framework and regression test suites in Python to optimize validation efficiency 
• Collaborate closely with engineers from many other disciplines on a variety of topics 
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies 
• Analyse test results, identify and debug failures/defects 
• Contribute to shared test and validation infrastructure 
• Provide feedback to architects 

Essential skills: 

• Strong experience in Bare metal / embedded C/C++ 
• Good knowledge of digital ASICs
• Be highly motivated, a self starter, and a team player  
• Ability to work across teams and programming languages to find root causes of deep and complex issues 
• Experience of the post-silicon validation process applied in digital ASIC environments 
• Python, Linux 
• Excellent communication skills and the ability to collaborate with others to solve problems
• Excellent problem-solving, analytical & diagnostic skills 

  Desirable skills: 

• Driver level experience with one or more of the following is highly desirable: 
  • PCIe 
  • Ethernet 
  • Memory technologies (LPDDR, DDR, HBM, …) 
  • Other peripherals such as I2C, I3C, SPI, … 
• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
• Experience of Arm CPUs, System IP and debug tools
• Experience of AMBA protocols
• Understanding of ML applications and their workloads
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support 

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. 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. 

Principal Embedded SW/FW Engineer (Bringup) - Bengaluru, multiple vacancies 

Job Summary

We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms.

 You will play a key role in supporting new product introductions and post-silicon validation.

Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.

The Team

The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team.

Responsibilities and Duties

• Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon
• Deploy silicon validation tests on first silicon and debugging them
• Develop automated test framework and regression test suites in Python to optimize validation efficiency
• Collaborate closely with engineers from many other disciplines on a variety of topics
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
• Analyse test results, identify and debug failures/defects
• Contribute to shared test and validation infrastructure
• Provide feedback to architects

Candidate Profile 

Essential:

• Understanding of ML applications and their workloads
• A self-starter who can apply independent judgement
• A team player able to lead and support colleagues with difficult concepts
• Strong experience in Bare metal / embedded C/C++

• Excellent problem-solving, analytical & diagnostic skills

• Ability to work across teams and programming languages to find root causes of critical and complex issues

• Experience of the post-silicon validation process applied in digital ASIC environments

• Python, Linux

• Excellent communication skills and the ability to explain difficult concepts to resolve issues 

Desirable

• 10+ years  experience 
• Experience building and leading, multi-site teams
• Driver level experience with one or more of the following is highly desirable:

• PCIe
• Ethernet
• Memory technologies (LPDDR, DDR, HBM, …)
• Other peripherals such as I2C, I3C, SPI, …

• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable.
• Experience of Arm CPUs, System IP and debug tools.
• Experience of AMBA protocols.
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, 

About Us 

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.   

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. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. 

Job Overview: 

Graphcore is seeking a Principal Engineer, Power Engineering to aid in defining the architecture of the power delivery components from grid to chip. You will work closely with multiple cross-functional teams, including hardware engineers, firmware developers, and data center operations, to ensure the infrastructure we build meets customer requirements as well as attaining standards of performance, reliability, and scalability. 

This role will be based in Austin or San Jose and could potentially be performed onsite or remotely within the US. 

Responsibilities: 

• Provide thought leadership, planning, and design for power delivery from data center power drop through delivery to systems & chips 

• Establish power roadmap. Work with vendors to ensure their planned future technologies are pulled into our system engineering roadmap AND ensure that our (system engineering) required technological innovation is being driven into their (power vendor) roadmap. Work to improve reliability and efficiency of power engineering component over time. 

• Rack-level power components. Competency with specification of hardware and firmware for rack-level power shelves. Competency with design for resiliency. 

• Set power policies in the data center for: power buffer/oversubscription, scheduling of jobs based on power, and monitoring (power quality faults) / accommodation faults. Resolve telemetry and data needed to support power policy algorithms. 

• Ensure robustness of IT power in the presence of grid disturbances and make sure that IT power loads are compatible with grid power requirements (“good grid power citizen”) 

• Board and system-level power regulation components. Understand and able to apply current VRM, TLDR, and POL technologies. Help to develop new technologies to increase efficiency. Understand manufacturing capabilities and limitations of new technology. Drive 

• Provide guidance to the power equipment manufacturers, ODM and engineering teams on the required testing and validation procedures for power hardware and firmware components. 

• Develop and test hardware prototypes as needed to support the exploration and validation of new concepts in power delivery. 

• Tackle and resolve sophisticated power hardware and firmware issues as needed. 

• Ensure compliance with industry standards and regulations. 
  
  

Required Skills and Experience : 

• Bachelor’s or Master’s or PhD degree in Electrical Engineering with a specialized knowledge of Power Engineering. 

• demonstrated ability in power system and delivery architecture, design, and development. 

• Experience with rack-level hardware design, including servers, storage, networking, and power distribution. 

• Proficiency in power hardware and firmware development and debugging. 

• Excellent problem-solving and analytical skills. 

• Strong communication and teamwork skills. 

• Ability to work in a fast-paced, multifaceted environment. 
  
  

"Nice to Have" Skills and Experience: 

• Familiarity with new technologies in AI and data center infrastructure. 

• Comfortable meeting with and engaging directly with customers (internal and external) during requirements gathering and solution development 

Benefits  
In addition to a competitive salary, Graphcore offers a competitive benefits package. 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.  

Principal Engineer, Power Engineering

About Us 

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.   

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. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. 

Job Overview: 

Grapchore is seeking a Principal Engineer, Power Engineering to aid in defining the architecture of the power delivery components from grid to chip. You will work closely with multiple cross-functional teams, including hardware engineers, firmware developers, and data center operations, to ensure the infrastructure we build meets customer requirements as well as attaining standards of performance, reliability, and scalability. 

This role will be based in Austin or San Jose and could potentially be performed onsite or remotely within the US. 

Responsibilities: 

• Provide thought leadership, planning, and design for power delivery from data center power drop through delivery to systems & chips 

• Establish power roadmap. Work with vendors to ensure their planned future technologies are pulled into our system engineering roadmap AND ensure that our (system engineering) required technological innovation is being driven into their (power vendor) roadmap. Work to improve reliability and efficiency of power engineering component over time. 

• Rack-level power components. Competency with specification of hardware and firmware for rack-level power shelves. Competency with design for resiliency. 

• Set power policies in the data center for: power buffer/oversubscription, scheduling of jobs based on power, and monitoring (power quality faults) / accommodation faults. Resolve telemetry and data needed to support power policy algorithms. 

• Ensure robustness of IT power in the presence of grid disturbances and make sure that IT power loads are compatible with grid power requirements (“good grid power citizen”) 

• Board and system-level power regulation components. Understand and able to apply current VRM, TLDR, and POL technologies. Help to develop new technologies to increase efficiency. Understand manufacturing capabilities and limitations of new technology. Drive 

• Provide guidance to the power equipment manufacturers, ODM and engineering teams on the required testing and validation procedures for power hardware and firmware components. 

• Develop and test hardware prototypes as needed to support the exploration and validation of new concepts in power delivery. 

• Tackle and resolve sophisticated power hardware and firmware issues as needed. 

• Ensure compliance with industry standards and regulations. 
  
  

Required Skills and Experience : 

• Bachelor’s or Master’s or PhD degree in Electrical Engineering with a specialized knowledge of Power Engineering. 

• demonstrated ability in power system and delivery architecture, design, and development. 

• Experience with rack-level hardware design, including servers, storage, networking, and power distribution. 

• Proficiency in power hardware and firmware development and debugging. 

• Excellent problem-solving and analytical skills. 

• Strong communication and teamwork skills. 

• Ability to work in a fast-paced, multifaceted environment. 
  
  

"Nice to Have" Skills and Experience: 

• Familiarity with new technologies in AI and data center infrastructure. 
• Comfortable meeting with and engaging directly with customers (internal and external) during requirements gathering and solution development
   

Benefits  
In addition to a competitive salary, Graphcore offers a competitive benefits package. 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 

We are seeking an experienced Principal Hardware Diagnostics Engineer to design and develop diagnostics software used to monitor hardware health and diagnose system-level issues across Graphcore’s AI infrastructure platforms. 

This role focuses on building diagnostics agents, tools, and analytics frameworks that enable engineers and automation systems to identify, isolate, and resolve hardware issues across blade-level servers and rack-scale clusters. 

The Team 

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.    

The Systems Engineering and Platform Validation team ensures Graphcore’s AI compute platforms are reliable, diagnosable, and operationally robust at scale. 

The team collaborates with hardware engineering, firmware, cloud infrastructure, and automation teams to develop tools and frameworks that monitor system health, detect hardware failures, and accelerate root-cause analysis across AI clusters. 

Responsibilities and Duties 

• Design and develop automated hardware diagnostics solutions for blade-level servers and rack-scale AI systems. 

• Architect and implement diagnostic agents, monitoring tools, and analytics frameworks to track hardware telemetry. 

• Collaborate with hardware teams to integrate low-level diagnostic modules into monitoring systems. 

• Develop diagnostics tools capable of detecting hardware health conditions and isolating failures. 

• Create diagnostic modules used for internal validation and production data center operations. 

• Provide detailed hardware fault information to system engineers to accelerate troubleshooting. 

• Define remediation workflows and insights for hardware fault scenarios across nodes and clusters. 

• Collaborate with firmware, networking, and cloud platform teams to integrate diagnostics across the system stack. 

Candidate Profile 

Essential 

• Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or related discipline. 

• Strong software engineering experience in Python, C++, or C#. 

• Experience developing diagnostics or monitoring systems for hardware platforms. 

• Experience working with distributed systems or cloud infrastructure. 

• Strong knowledge of Linux environments and system-level diagnostics tools. 

• Experience collaborating with CM/ODM partners on manufacturing diagnostics and fault isolation. 

• Strong analytical and debugging skills. 

• Excellent communication and collaboration abilities. 

Desirable 

• Experience working with AI hardware platforms or accelerator-based computing systems. 

• Familiarity with hyperscale data center infrastructure. 

• Experience building cluster-level monitoring or diagnostics systems. 

• Experience interacting with internal or external customers during diagnostics solution development. 

Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.   

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. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. 

RESPONSIBILITIES

• Responsible for the maintaining all the network fabrics and network topologies operating at peak performance on Graphcore Data centers housing AI server platforms.
• Collaborate closely with our Network architecture team through all phases of the design and development lifecycle — from concept to deployment — ensuring timely, high-quality, and stable high-speed network fabrics.
• Primary support of deployed internal fabrics in our AI Datacenters.
• Direct escalation for Hardware, Link and, Performance issues on network fabrics.
• Escalation support for customer network fabrics (aligned to reference arch.)
• Triage day-to-day network topologies (scale-up, scale-out, and front-end networks) issues of Fabrics deployed in Graphcore Datacenters.

REQUIREMENTS

• Bachelor’s, master’s degree or equivalent experience in Network Engineering/Security, Information Technology, Computer Science, Computer engineering, or a related field.
• 9+ years of hands-on experience in network engineering and 3+ years supporting networking on AI or Hyperscale Datacenters.
• Knowledge of Remote Direct Memory Access (RDMA) and its implementations, specifically ROCEv2 or InfiniBand
• Knowledge of Lossless network – Experience with congestion control and lossless Ethernet technologies including PDF, ECN and DCQCN.
• Versed in High-Bandwidth network infrastructure including experience with operating 400G and 800G network fabrics and tackling challenges at the physical layer for networks operating at these speeds. This includes familiarity with specific optical transceivers.
• Experience sustaining non-blocking, multi-tier CLOS networks (i.e., Spine / Leaf / Super-Spine) that are optimized for high-density GPU clusters.
• Extensive troubleshooting experience for data center routing protocols such as BGP and OSPF as well as troubleshooting of VXLAN implementations.
• Cross-Functional collaboration- The candidate must excel at working closely with network architects, systems hardware engineers, AI software engineers, and Datacenter infrastructure teams to optimize the full stack from the application layer down to the Network infrastructure that includes controllers (NICs, SmartNICs, DPUs), network switches, and cabling and optical transceiver operation in our Datacenter.

DIFFERENTIATORS

• Deep hands-on experience with NetDevOps to automate tasks using tools such as Terraform or Ansible to manage network configurations and state.
• Possess strong scripting skills such as Python, Go, or JSON to build custom automation, interact with APIs, and develop internal network tools.
• Deep hands-on experience with modern, high-performance hardware from network switch and NIC providers such as Broadcom, Arista, Cisco, or Pensando.
• Knowledgeable in Advanced Network Telemetry, beyond traditional SNMP. Knowledgeable in telemetry protocols such as gNMI, Sflow, Netflow, Redfish, and Prometheus to characterize and detect transient congestion events, micro-bursts in the network fabric or defective network hardware.

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

pproach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Principal Post Silicon Validation Engineer (Bringup)

Salary $241,100 - $326,100 + Phantom Equity + Benefits 

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.  

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. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing.  

We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. 

The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.  

Responsibilities and Duties 

• Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon 
• Deploy silicon validation tests on first silicon and debugging them 
• Develop automated test framework and regression test suites in Python to optimize validation efficiency 
• Collaborate closely with engineers from many other disciplines on a variety of topics 
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies 
• Analyse test results, identify and debug failures/defects 
• Contribute to shared test and validation infrastructure 
• Provide feedback to architects 

Essential skills: 

• Strong experience in Bare metal / embedded C/C++ 
• Good knowledge of digital ASICs
• Be highly motivated, a self starter, and a team player  
• Ability to work across teams and programming languages to find root causes of deep and complex issues 
• Experience of the post-silicon validation process applied in digital ASIC environments 
• Python, Linux 
• Excellent communication skills and the ability to collaborate with others to solve problems
• Excellent problem-solving, analytical & diagnostic skills 

  Desirable skills: 

• Driver level experience with one or more of the following is highly desirable: 
  • PCIe 
  • Ethernet 
  • Memory technologies (LPDDR, DDR, HBM, …) 
  • Other peripherals such as I2C, I3C, SPI, … 
• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
• Experience of Arm CPUs, System IP and debug tools
• Experience of AMBA protocols
• Understanding of ML applications and their workloads
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support 

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. 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. 

Principal Power Engineer

About Us 

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.   

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. 

Job Overview: 

Graphcore is seeking a Principal Engineer, Power Engineering to aid in defining the architecture of the power delivery components from grid to chip. You will work closely with multiple cross-functional teams, including hardware engineers, firmware developers, and data center operations, to ensure the infrastructure we build meets customer requirements as well as attaining standards of performance, reliability, and scalability. 

This role will be based in Austin or San Jose and could potentially be performed onsite or remotely within the US. 

Responsibilities: 

• Provide thought leadership, planning, and design for power delivery from data center power drop through delivery to systems & chips 

• Establish power roadmap. Work with vendors to ensure their planned future technologies are pulled into our system engineering roadmap AND ensure that our (system engineering) required technological innovation is being driven into their (power vendor) roadmap. Work to improve reliability and efficiency of power engineering component over time. 

• Rack-level power components. Competency with specification of hardware and firmware for rack-level power shelves. Competency with design for resiliency. 

• Set power policies in the data center for: power buffer/oversubscription, scheduling of jobs based on power, and monitoring (power quality faults) / accommodation faults. Resolve telemetry and data needed to support power policy algorithms. 

• Ensure robustness of IT power in the presence of grid disturbances and make sure that IT power loads are compatible with grid power requirements (“good grid power citizen”) 

• Board and system-level power regulation components. Understand and able to apply current VRM, TLDR, and POL technologies. Help to develop new technologies to increase efficiency. Understand manufacturing capabilities and limitations of new technology. Drive 

• Provide guidance to the power equipment manufacturers, ODM and engineering teams on the required testing and validation procedures for power hardware and firmware components. 

• Develop and test hardware prototypes as needed to support the exploration and validation of new concepts in power delivery. 

• Tackle and resolve sophisticated power hardware and firmware issues as needed. 

• Ensure compliance with industry standards and regulations. 

Required Skills and Experience : 

• Bachelor’s or Master’s or PhD degree in Electrical Engineering with a specialized knowledge of Power Engineering. 

• demonstrated ability in power system and delivery architecture, design, and development. 

• Experience with rack-level hardware design, including servers, storage, networking, and power distribution. 

• Proficiency in power hardware and firmware development and debugging. 

• Excellent problem-solving and analytical skills. 

• Strong communication and teamwork skills. 

• Ability to work in a fast-paced, multifaceted environment. 

"Nice to Have" Skills and Experience: 

• Familiarity with new technologies in AI and data centre infrastructure. 
• Comfortable meeting with and engaging directly with customers (internal and external) during requirements gathering and solution development 

Benefits  
 
In addition to a competitive salary, Graphcore offers a competitive benefits package. 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.  

Senior Bring-Up and Characteristion Engineer

Salary $161,500 - $218,500 + Phantom Equity + Benefits

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 

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. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.  

We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms.
Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. Your role will be to create and execute bring-up and characterisation plans of our silicon devices in systems to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment. 

Responsibilities and Duties 

• Understand the architecture and design of silicon devices and systems, and clearly document the requirements for characterisation
• Creation of product specific characterisation plans
• Liasing with engineering teams to understand what are tests are available for characterisation purposes and driving change where appropriate
• Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis
• Execution of manual characterisation tests where automation is not appropriate
• Report regularly on progress and issues during the characterisation
• Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report

Essential skills

• A proven track record of delivering technical output, perhaps as an individual contributor, manager, or project manager
• Solid experience and understanding of silicon digital device design characterisation
• Knowledge of silicon process technology and how that impacts device performance at transistor and system level
• Knowledge of high-performance processor and system-on-chip systems
• Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR
• Knowledge of measurement automation and data analysis
• The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example
• An ability to work independently without daily oversight

Desirable skills:

• Knowledge of PCBA and system level technologies
• Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. 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. 

Senior Bring-Up and Characteristion Engineer

Salary $156,500 - $211,700 + Phantom Equity + Benefits

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 

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. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.  

We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms.
Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. Your role will be to create and execute bring-up and characterisation plans of our silicon devices in systems to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment. 

Responsibilities and Duties 

• Understand the architecture and design of silicon devices and systems, and clearly document the requirements for characterisation
• Creation of product specific characterisation plans
• Liasing with engineering teams to understand what are tests are available for characterisation purposes and driving change where appropriate
• Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis
• Execution of manual characterisation tests where automation is not appropriate
• Report regularly on progress and issues during the characterisation
• Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report

Essential skills

• A proven track record of delivering technical output, perhaps as an individual contributor, manager, or project manager
• Solid experience and understanding of silicon digital device design characterisation
• Knowledge of silicon process technology and how that impacts device performance at transistor and system level
• Knowledge of high-performance processor and system-on-chip systems
• Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR
• Knowledge of measurement automation and data analysis
• The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example
• An ability to work independently without daily oversight

Desirable skills:

• Knowledge of PCBA and system level technologies
• Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. 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. 

Senior Bring-Up and Characteristion Engineer

Multiple roles across different levels

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 

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. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.  

We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms. Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. Your role will be to create and execute bring-up and characterisation plans of our silicon devices in systems to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment. 

Responsibilities and Duties 

• Understand the architecture and design of silicon devices and systems, and clearly document the requirements for characterisation
• Creation of product specific characterisation plans
• Liasing with engineering teams to understand what are tests are available for characterisation purposes and driving change where appropriate
• Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis
• Execution of manual characterisation tests where automation is not appropriate
• Report regularly on progress and issues during the characterisation
• Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report

Essential skills

• A proven track record of delivering technical output, perhaps as an individual contributor, manager, or project manager
• Solid experience and understanding of silicon digital device design characterisation
• Knowledge of silicon process technology and how that impacts device performance at transistor and system level
• Knowledge of high-performance processor and system-on-chip systems
• Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR
• Knowledge of measurement automation and data analysis
• The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example
• An ability to work independently without daily oversight

Desirable skills:

• Knowledge of PCBA and system level technologies
• Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. 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 a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.  

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.  

 Job Summary  

We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms. Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. 
 
Your role will be to create and execute bring-up and characterisation plans of our silicon devices to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment. 
 
The Team 

This team will be initially part of Manufacturing Operations. 
The Manufacturing Operations group has members in Bristol, Cambridge and Taiwan and is responsible for delivering world-class leading-edge products to customers. 
 
Responsibilities and Duties

• Understand the architecture and design of silicon devices and systems and clearly document the requirements for characterisation. 
• Assist in the creation of product specific bring-up and characterisation plans. 
• Execution of bring-up and characterisation plans. 
• Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis. 
• Execution of manual characterisation tests where automation is not appropriate. 
• Report regularly on progress and issues to your lead. 
• Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report. 
    

Candidate Profile  
Essential 

• A proven track record of delivering technical output. 
• Experience and understanding of silicon digital device design characterisation. 
• Knowledge of silicon process technology and how that impacts device performance at transistor and system level. 
• Knowledge of high-performance processor and system-on-chip systems. 
• Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR. 
• Knowledge of measurement automation and data analysis. 
• The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example. 
• An ability to work part of a team, either independently or with some oversight. 
• Bachelor's degree or equivalent practical experience. 

Desirable

• Knowledge of PCBA and system level technologies. 
• Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems. 
   

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.