Physical Therapist – Outpatient Ortho  

Build Your Outpatient Physical Therapy Career with us! 

At BenchMark Physical Therapy, part of the Upstream Rehabilitation network, you can focus on patient care while advancing your career in outpatient orthopedic physical therapy.  

We’re hiring full-time, part-time, and PRN Physical Therapists — including new grads — who want competitive pay, strong mentorship, and a clear path to professional growth that flexes with every stage of your career.  

Why Clinicians Choose BenchMark Physical Therapist 

• Competitive Physical Therapist salary: $75,000 - $90,000 / year 

• Achievable monthly clinical bonus program, over 90% of clinicians qualify 

• Student loan repayment assistance – directly to the principle of your loan! 

• 100% employer paid medical health insurance premium option available 

• Dental and Vision insurance  

• 401(k) with company match 

• Generous PTO and paid holidays 

• Structured onboarding for new-grad Physical Therapists and ongoing mentorship 

• In-house Residency/Fellowship programs and robust CEU opportunities – with annual allowance! 

• Path to clinic ownership / partnership for long-term growth 

• Modern clinical technology that reduces documentation time so you can focus on patients 

• Supportive team and leadership invested in your success 

What You’ll Do as a Physical Therapist 

• Develop individualized, evidence-based care plans for your patients 

• Deliver high-quality, outcomes-driven therapy 

• Collaborate with peers in a fun, values-driven team environment 

• Build lasting connections with patients and local providers 

• Continue learning and growing through Upstream’s education and development programs 

Qualifications 

• Graduate of an accredited Physical Therapy program (DPT or equivalent) 

• Active Tennessee Physical Therapist license (or eligible)

A Better Place to Build Your PT Career 

When you join Upstream Rehabilitation, you get the strength of a national network with the feel of a local clinic. 

Our central support teams handle the administrative work, so you can focus on what matters most — the patient in front of you. With a network of over 1,200 clinics coast-to-coast across 26 brand partners, we lead the industry in quality outcomes, leveraging data, technology, and innovation to reduce paperwork and give you more time for care. 

You’ll be part of a fantastic group of clinicians who shape our culture, create a positive work environment, and know how to have fun along the way. It’s easy to see why so many Physical Therapists choose to grow their careers with Upstream. 

Estimated pay ranges listed above are based on several factors including but not limited to your pay class, experience, background and geographic location of the clinic 

Benefits and eligibility are dependent on employment status and pay class (full-time, part-time, or PRN). Specific details will be provided during the hiring process. 

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

What you’ll be doing

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

What we are looking for

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

We are looking for a creative, diligent Senior Software Engineering Manager who will be responsible for driving the engineering teams researching and developing the next generation of PlayStation's testing technology. This technology - including automation tools, framework and CI infrastructure - is used to analyze the quality of front end workflows on the PS5.

As a Senior Manager, Software Engineering (Quality Engineering), you will lead and develop a team responsible for ensuring high-quality software delivery across multiple products and platforms. This role shapes quality strategy, drives engineering excellence, and enables efficient, reliable release processes. You will work cross-functionally and lead a distributed team across locations, embedding quality practices throughout the development lifecycle. The position entails collaboration with quality management leadership, different internal departments, as well as open source software communities. Together we will build an environment oriented to trust, open communication, creative thinking and cohesive team effort. You will also work closely with your peers and leadership to establish project prioritisation, team goals and overall quality.

What you'll be doing:

• Lead, mentor, and develop a distributed team of quality engineers across multiple products and platforms.
• Manage and support remote team members, fostering effective collaboration across geographically dispersed teams.
• Define team member development and career path opportunities with team members and mentor them to achieve goals.
• Monitor and review everyone’s performance, deliver regular performance appraisals.
• Manage team capacity planning, hiring, onboarding and ensure effective succession planning for your teams.
• Lead day-to-day activities of engineering team using Agile/Scrum methodology.
• Define and implement quality engineering strategy, vision, and best practices to support reliable and efficient software delivery.
• Partner with product and development teams to define test strategies, acceptance criteria, and release plans.
• Identify, assess, and communicate risks to delivery timelines and product quality.
• Lead all aspects of delivery for general technical architecture and infrastructure to support the continued development of projects, including tools and pipelines.
• Research and craft new tools for overcoming inefficient processes by automating work.
• Advocate for reducing technical debt, improving test coverage, and maintaining engineering standards.
• Lead retrospective analysis of activities and champion continuous process improvement.

What We’re Looking For:

• At least five years in a people management role. Proven success in people management including mentorship. Past experience supervising people managers is strongly preferred.
• Effective leading of multiple Agile teams in quality and testing engineering domains. (Software engineering managers with deep experience and understanding of testing groups and processes should also apply.)
• Outstanding verbal and written communication skills, which encompass presenting to senior leadership, product managers, software engineers, project managers, and customers.
• Significant experience with software engineering practices, software automation and testing systems (for example, Jenkins).
• Proficient in Python programming. Enough C++ experience to provide guidance in larger architectural discussion and occasional code review.
• A solid understanding of the software development lifecycle, and applying proven software methodologies to testing and driving reductions in technical debt.            

Nice-to-haves

• Machine learning background.
• Prior experience with console or PC game development.
• Past experience with cloud computing and containerization.
• Development and debugging tools experience on Windows.

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

What you’ll be doing 

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

What we are looking for 

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

Nice to have 

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

We anticipate that suitable candidates will demonstrate the following personal attributes 

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

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

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

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

Job Summary

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

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

The Team

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

Responsibilities and Duties

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

Candidate Profile

Essential:

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

Desirable:

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

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

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

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

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

Job Summary

As a Lead Lab Support Engineer at Graphcore, you will serve as the technical lead providing IT support to Engineering Labs and Silicon development projects. This includes bring-ups and testing in hybrid Linux and Windows environments. You will deliver reliable, scalable, and high-quality services to internal customers, partners, and collaborators. You will also lead a small team of Lab Support Engineers and encourage a culture of accountability, collaboration, and continuous improvement. 

Working alongside Project Managers, engineering teams, and interested parties, you will build and deploy scalable workflows. You must ensure IT support for Engineering Labs keeps pace with the organisation’s evolving requirements. At first, this role requires direct involvement in daily support, configuration, and onboarding activities while forming the Lab Support team and setting up scalable processes.

The Team

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

Responsibilities and Duties

• Logging and solving support requests face-to-face & via ticketing system
• Ensure high-quality L1 & L2 support through effective triage, prioritization, and allocation of tickets
• Establish, manage, and consistently refine the Lab Support service, covering standards, processes, and governance
• Serve as the primary point of escalation and decision-making for IT service delivery
• Handling and providing support for Linux-based systems
• Handling and maintaining Windows-based systems
• Managing a fleet of servers, helping Hardware Lab teams with daily activities, tools and packages installation, platform configuration via Configuration Management systems
• Installing and troubleshooting servers, hardware maintenance, fault finding
• Detailing solutions and maintaining a clear, up-to-date internal knowledge base.

Essential

• Excellent communication and customer service skills
• Good understanding of troubleshooting principles and methodical problem-solving
• Strong Linux administration skills in Debian & RedHat derivatives
• Good Windows administration skills, Active Directory domain joining, policies
• Good networking skills such as VLANs, VPNs, Wi-Fi, routing, subnetting
• Familiarity with desktop and server hardware, BMCs, Out-of-Band networks, firmware & BIOS upgrades, PDU, rack mounts
• Managing Infrastructure-as-Code using Puppet, Ansible, or similar via Git
• Understanding of authentication services such as LDAP, Radius

Desirable

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

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

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

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

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

Job Summary

We are looking for a highly experienced Lead Engineer Support Linux Engineer to guide and develop a small group supporting engineering systems in a fast-paced AI-centered environment. 

The position requires strong Linux skills combined with leadership, automation, and DevOps approaches to maintain systems that are reliable, scalable, and easy to support at scale. An important responsibility is developing and managing a configuration-as-code environment. In this setup, system configuration and operations are handled through automation, pipelines, and source control rather than manual intervention. 

You will be responsible for leading incident response, driving operational improvements, and setting standards for how Linux systems are managed and supported across the organization.

While the role includes leadership responsibilities, it will initially require a hands-on approach, including direct involvement in troubleshooting, system support, and automation efforts, while building team capability and scaling processes.

Collaborating intimately with engineering groups, platform engineers, and infrastructure experts, you will guarantee systems stay stable, efficient, and consistent with changing business and product delivery requirements. 

The Team

You’ll be joining a multi-disciplinary team with strong technical skills and a very supportive 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

• Guide, mentor, and cultivate a team of Linux Engineering Support Engineers, defining clear roles, responsibilities, and methods of collaboration
• Own and oversee support for Linux-based systems and engineering environments, ensuring stability, performance, and availability
• Act as a point of contact for complex technical issues and outages, providing hands-on support when a customer concern arises
• Diagnose and resolve high-impact system and interoperability issues across mixed and distributed environments
• Perform hands-on investigation and troubleshooting to understand issues and drive effective solutions
• Direct incident response efforts, encompassing triage, coordination, and resolution
• Take responsibility for and lead Root Cause Analysis (RCA) processes, ensuring preventative improvements are identified and applied
• Establish and improve incident management processes, driving operational maturity and reliability
• Drive adoption of automation and configuration-as-code practices across Linux systems
• Ensure system changes are delivered through controlled, auditable processes wherever possible
• Oversee development and implementation of automation solutions for system management and operational tasks
• Promote and support use of workflows based on Git and CI/CD pipelines for configuration and operational processes
• Identify and prioritize opportunities to reduce manual effort through automation and improved tooling
• Collaborate with engineering teams to assist development environments and system requirements
• Act as a senior technical liaison between engineering teams and infrastructure/platform functions
• Support onboarding of new systems, services, and environments using standardized and automated approaches
• Ensure system configurations stay consistent and aligned with established standards and governance
• Oversee integration points (e.g. identity, CI/CD, tooling) and ensure issues are resolved effectively
• Identify and drive improvements in system performance, scalability, and maintainability
• Contribute to and enforce documentation, standards, and operational guidelines
• Ensure systems meet audit, compliance, and governance requirements, with full traceability of changes

Candidate Profile

Essential

• Extensive experience managing and maintaining Linux-based systems in complex technical or engineering environments
• Strong troubleshooting skills across operating systems, networking, storage, and application layers
• Demonstrated ability to identify and solve intricate technical problems, including within diverse or distributed settings
• Demonstrated experience managing significant incidents and outages, including directing resolution efforts and participating in Root Cause Analysis (RCA)
• Extensive background in automation and scripting (e.g., Bash, Python, or similar)
• Extensive background in configuration management or infrastructure-as-code tools (e.g., Ansible, Terraform, Puppet, or similar)
• Experience working with configuration-as-code practices and workflows managed through Git
• Experience building, managing, or assisting with CI/CD pipelines for configuration and operational processes
• Strong understanding of system interoperability across distributed environments
• Experience working within defined standards, governance frameworks, and controlled processes
• Strong communication skills and ability to collaborate closely with engineering, platform, and infrastructure teams
• Experience mentoring or supporting the development of other engineers
• Capability to work efficiently across different time zones within a dispersed organization
• Demonstrated capability to work autonomously, establish goals, and achieve results

Desirable

• Experience managing or coordinating incident response activities
• Experience working alongside DevOps, platform, or infrastructure engineering teams
• Experience with monitoring, observability, and logging systems
• Experience supporting AI/ML or high-performance computing environments
• Understanding of identity and access management concepts
• Experience building or scaling operational processes or support functions
• Experience managing and maintaining Linux-based systems in a technical or engineering environment

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

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

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

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

Job Summary

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

The Team

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

Responsibilities and Duties

• Logging and solving support requests face-to-face & via ticketing system, L1&L2 support
• Handling and maintaining Linux-based systems
• Handling and providing support for Windows-based systems
• Managing a fleet of servers, helping Hardware Lab teams with daily activities
• Installing and troubleshooting servers, hardware maintenance, fault finding
• Detailing solutions and maintaining a clear, up-to-date internal knowledge base

Essential

• Excellent communication and customer service skills
• Good understanding of troubleshooting principles and methodical problem-solving
• Strong Linux administration skills in Debian & RedHat derivatives
• Good Windows administration skills
• Good networking skills such as VLANs, VPNs, Wi-Fi, routing, subnetting
• Familiarity with desktop and server hardware, BMCs, Out-of-Band networks, firmware & BIOS upgrades, PDU, rack mounts
• Managing Infrastructure-as-Code using Puppet, Ansible, or similar

Desirable

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

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

Bristol or London, 3 days in the office, 2 days WFH

At Fractile, we’re building what we believe will be the world’s fastest AI inference chip from the ground up. We’re balanced across hardware and software engineering, and HW/SW co-design is real here. We move fast, and we help each other move fast. We care about each other, the software we ship, and the people who rely on it.

To validate behaviour, our functional simulator allows us to iterate at scale with real software before the hardware exists. It runs across multiple machines, supports large experiments, and helps verify the correctness of our low level firmware, runtime stack and compiler lowering.

You’ll be there for the first end-to-end runs against realistic device behaviour, the debugging sessions that unblock whole teams, and the moments where simulator fidelity turns into better software, better silicon decisions, and faster bring-up.

What you’ll do

• Build a functional simulator of Fractile’s AI accelerator hardware including a custom ISA
• Implement the device models and behaviours that matter for software correctness: MMIO, interrupts, DMA, memory behaviour, concurrency, and error paths
• Work closely with runtime, kernel, firmware and HW engineers to shape simulator interfaces
• Make it usable at scale: tracing, determinism/reproducibility, CI integration, and containerised workflows
• Collaborate daily with hardware, software, and ML engineers to validate assumptions and close gaps early

What we’re looking for

• Strong C and comfort working in large low-level codebases
• Good intuition and knowledge of low-level hardware behaviour: registers/MMIO, interrupts, memory ordering, concurrency, and failure modes
• You enjoy hard system-level problems, and you take them end-to-end until the results are measurable
• Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience

Nice to have

• You’ve built or extended hardware simulators or emulators.
• SystemC experience
• QEMU device model experience is ideal, even better in the TCG
• Docker and orchestration tooling (Kubernetes)
• Familiarity with RISC-V and x86 architectures
• Python experience useful

If you want to build the simulator that makes rack-scale software real before rack-scale hardware exists, come build it together.

Fractile’s mission is to enable a new chapter in the AI revolution. We’re pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world’s largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you!

We are seeking a highly skilled Senior/Principal Physical Design Engineer to contribute to our next-generation chip designs. As a Physical Design Engineer, you will be responsible for the end-to-end implementation of complex IC physical designs, from synthesis to sign-off, including opportunities for full-chip ownership. You will collaborate with cross-functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability.

Key Responsibilities:

• Drive the physical implementation of ASIC/SoC designs, including floorplanning, placement, clock tree synthesis (CTS), routing, and sign-off, with potential responsibility for full-chip execution.
• Work on synthesis, timing analysis (STA), and optimisation to achieve the best PPA metrics.
• Perform power planning and analysis, addressing IR drop, electromigration, and low-power design techniques.
• Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance.
• Collaborate with DFT engineers to integrate design-for-test (DFT) structures into the physical implementation.
• Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others.
• Interface with foundries and process engineers to ensure manufacturability and yield optimisation.
• Work closely with RTL and architecture teams to drive design feasibility, constraints, and physical-aware RTL design.
• Work with advanced AI tools and models to improve productivity, analysis, and design quality.

Preferred Qualifications:

• Bachelor’ Master’s or PhD in Electrical Engineering, Computer Engineering, or a related field.
• 7+ years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below).
• Strong proficiency in EDA tools for place & route, STA, and sign-off.
• Solid understanding of CMOS technology, semiconductor physics, and process limitations.
• Experience with low-power design methodologies, power optimisation techniques, and multi-power domain architectures.
• Expertise in timing closure, signal integrity, IR drop analysis, and formal verification.
• Proficiency in scripting languages like TCL, Perl, or Python for automation.
• Excellent problem-solving skills, communication, and teamwork in a collaborative design environment.
• Experience in high-performance computing (HPC), AI accelerators, or networking chips.
• Experience or strong interest in leveraging advanced AI tools and models within engineering workflows.

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

We are seeking an experienced PCB Layout Engineer to deliver complex, high-speed and high-power PCB designs while also owning PCB library creation, validation, and ongoing management. This role plays a critical part in ensuring electrical performance, manufacturability, and long-term design quality across multiple products. The ideal candidate combines deep layout expertise with a strong understanding of component footprints, land patterns, and library governance best practices.

Key Responsibilities

PCB Layout & Design Execution

• Create PCB layouts for complex, multi-layer boards supporting high-speed digital and high-power circuits
• Own component placement, routing, and constraint implementation from concept through manufacturing release
• Collaborate closely with hardware designers to resolve layout-driven electrical and mechanical tradeoffs

High-Speed Signal Integrity

• Route high-speed interfaces such as DDR, PCIe, Ethernet, USB, and SerDes-based links
• Apply controlled impedance routing, differential pair tuning, length matching, and return-path management
• Implement SI-aware stack-ups and routing strategies to minimise crosstalk and signal loss

High-Power & Power Integrity

• Layout high-current power paths, including VRMs, DC-DC converters, and power planes
• Optimise copper distribution, plane structures, and via arrays for current handling and low impedance
• Support thermal performance through copper pours, stitching vias, and heatsink interface planning

PCB Library Creation & Management

• Create, validate, and maintain schematic symbols, PCB footprints, and 3D models
• Ensure land patterns meet IPC standards and supplier recommendations
• Own library quality, version control, naming conventions, and release processes
• Collaborate with engineering, manufacturing, and supply chain to ensure component accuracy and lifecycle readiness
• Drive continuous improvement of library standards and documentation

Collaboration & Reviews

• Participate in schematic reviews, layout design reviews, and SI/PI discussions
• Work with SI/PI engineers to implement simulation-driven layout constraints
• Support DFM/DFA reviews and interface directly with PCB fabricators and assemblers

Manufacturing & Debug Support

• Generate manufacturing deliverables (Gerbers, ODB++, IPC drawings, pick-and-place data)
• Support board bring-up and debug by implementing layout ECOs
• Resolve layout- and footprint-related manufacturing or assembly issues

Qualifications & Experience

• Diploma, Bachelor’s degree, or equivalent experience in Electronics, Electrical Engineering, or related field
• 7+ years of professional PCB layout experience
• Proven experience with high-speed digital and high-power PCB designs
• Hands-on experience creating and maintaining PCB libraries for production hardware

Technical Skills

PCB layout tools such as Siemens Xpedition, Altium Designer, Cadence Allegro, or equivalent

• Library creation and management workflows
• High-speed routing (DDR, PCIe, Ethernet, USB, SerDes)
• High-current and power integrity layout techniques
• Multi-layer PCB stack-ups (10+ layers preferred)

Skills & Competencies

• Exceptional attention to detail and design discipline
• Strong ownership mindset for design quality and library integrity
• Effective communicator across hardware, mechanical, and manufacturing teams
• Comfortable managing multiple designs and revisions in parallel

Preferred Experience (Nice to Have)

• Experience with SI/PI simulation-informed layouts
• Familiarity with EMI/EMC-aware layout practices
• Experience with HDI, fine-pitch BGAs, and advanced PCB technologies
• Experience with AI accelerator or HPC hardware

   How we work

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

About us

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

Export control and security clearance

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

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

We are looking for a highly motivated and experienced RTL Design Engineer to join our dynamic team. In this role, you will play a key part in the design and implementation of digital systems, contributing to every stage of the project lifecycle. Your work will involve developing and optimising Register Transfer Level (RTL) designs for high-performance and power-efficient systems

RTL Development and Implementation:

• Develop and maintain RTL specifications for digital designs, ensuring clarity and accuracy.
• Implement complex design modules with a focus on performance, power, and area efficiency.
• Take ownership of design tasks, including planning, execution, and delivery of work packages.
• Define design tasks for the project, including partitioning, interface specifications, and module definitions.
• Collaborate with verification engineers to ensure functional correctness through simulation and formal verification.

Cross-Functional Collaboration:

• Work closely with physical design engineers, and verification teams to ensure seamless integration of the design.

Documentation and Standards Compliance:

• Document RTL design methodologies, module interfaces, and functional requirements.
• Ensure adherence to coding standards, best practices, and maintainability guidelines.

Qualifications and Skills:

Education: Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.

Experience:

• 6+ years of experience in digital design, RTL development, or related roles.
• Proven expertise in developing RTL designs for high-performance systems.
• Familiarity with advanced digital design concepts, such as pipelining, clock-domain crossing, and power gating.
• Experience with high-speed or low-power design methodologies.

Soft Skills:

• Strong analytical and problem-solving skills.
• Effective communication and collaboration abilities in cross-functional teams.
• A detail-oriented approach with a focus on quality and efficiency.

How we work

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

About us

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

Export control and security clearance

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

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

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

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

Key Responsibilities

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

Qualifications & Experience

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

Technical Skills

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

Preferred Experience (Nice to Have)

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

   How we work

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

About us

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

Export control and security clearance

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

Fractile’s mission is to enable a new chapter in the AI revolution. We’re pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world’s largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you!

We are seeking a Physical Design Engineer to contribute to our next-generation chip designs. As a Physical Design Engineer, you will support the implementation of complex IC physical designs, from synthesis to sign-off. You will collaborate with cross-functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability.

Key Responsibilities:

• Support the physical implementation of ASIC/SoC designs, including floor planning, placement, clock tree synthesis (CTS), routing, and sign-off.
• Work on synthesis, timing analysis (STA), and optimisation to achieve strong PPA metrics.
• Assist in power planning and analysis, addressing IR drop, electromigration, and related effects.
• Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance.
• Collaborate with DFT engineers to integrate design-for-test (DFT) structures into the physical implementation.
• Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others.
• Work closely with RTL and architecture teams to support design feasibility, constraints, and physical-aware RTL design.
• Work with advanced AI tools and models to improve productivity, analysis, and design quality.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
• 0–5 years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below), including internships.
• Familiarity with EDA tools for place & route, STA, and sign-off.
• Basic understanding of CMOS technology, semiconductor physics, and process limitations.
• Exposure to timing closure, signal integrity, IR drop analysis, and formal verification.
• Proficiency in scripting languages like TCL, Perl, or Python for automation is a plus.
• Excellent problem-solving skills, communication, and teamwork in a collaborative design environment.
• Interest in working with advanced AI tools and models as part of the design workflow.
• Experience or coursework in high-performance computing (HPC), AI accelerators, or networking chips is a plus.

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

We are looking for a highly motivated and experienced RTL Design Engineer to join our dynamic team. In this role, you will play a key part in the design and implementation of digital systems, contributing to every stage of the project lifecycle. Your work will involve developing and optimising Register Transfer Level (RTL) designs for high-performance and power-efficient systems

RTL Development and Implementation:

• Develop and maintain RTL specifications for digital designs, ensuring clarity and accuracy.
• Implement complex design modules with a focus on performance, power, and area efficiency.
• Take ownership of design tasks, including planning, execution, and delivery of work packages.
• Define design tasks for the project, including partitioning, interface specifications, and module definitions.
• Collaborate with verification engineers to ensure functional correctness through simulation and formal verification.

Cross-Functional Collaboration:

• Work closely with physical design engineers, and verification teams to ensure seamless integration of the design.

Documentation and Standards Compliance:

• Document RTL design methodologies, module interfaces, and functional requirements.
• Ensure adherence to coding standards, best practices, and maintainability guidelines.

Qualifications and Skills:

Education: Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.

Experience:

• 6+ years of experience in digital design, RTL development, or related roles.
• Proven expertise in developing RTL designs for high-performance systems.
• Familiarity with advanced digital design concepts, such as pipelining, clock-domain crossing, and power gating.
• Experience with high-speed or low-power design methodologies.

Soft Skills:

• Strong analytical and problem-solving skills.
• Effective communication and collaboration abilities in cross-functional teams.
• A detail-oriented approach with a focus on quality and efficiency.

How we work

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

About us

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

Export control and security clearance

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

Liquid Personnel is recruiting an Adult Social Worker to join its client’s Discharge to Assess team, based in Bristol.

What will your responsibilities be? 

• To carry out the statutory duties and responsibilities of Bristol City Council within relevant legislative frameworks.
• To practice in accordance with Social Work England (SWE), professional capabilities framework (PCF) and Knowledge and skills statement (KSS) for social workers in adult services.
• Manage a workload commensurate with level of competence, qualification as an experienced social worker, within eligibility criteria, prioritisation of service delivery and available resource.
• To enable self-directed support with people and carers:
  • by undertaking assessments to identify the outcomes and the personal budget for the provision of services,
  • by developing and reviewing support plans and provision against outcomes and changing needs.
• To undertake risk assessments and be responsible for actions in situations where a person’s safety or liberty is at risk, observing safeguarding adults’ policies and procedures, the legal principles of the Mental Capacity Act 2005 and Care Act 2014 and the principles of positive risk taking.
• To advise on and enable the creative use of universal and community resources, including tech enabled support and other equipment.
• To concentrate on specific areas of work requiring more developed skills, i.e. promoting best practice in use of the Mental Capacity Act 2005, the Mental Health (amendment) Act 2008 and Care Act 2014 safeguarding adults' policies and procedures.
• To ensure that information shared with people who draw on care and support is in an appropriate format. To ensure information shared with other professionals is in accordance with the Data Protection Act 1998, GDPR and other information sharing protocols, including the safeguarding adult’s information sharing protocol.
• Apply an advanced knowledge of a wide range of legislation, policies and evidence informed practice.

Qualifications and Experience: 

To be successful in this role you must have;  

• Professional Qualification: A recognised professional qualification in social work, such as an MA, BA, BSc in Social Work, Diploma in Social Work, or CQSW (Certificate of Qualification in Social Work).
• Registration: Must be registered with Social Work England, the regulatory body for social workers in England.
• Experience: 2+ years post qualified experience as an adult social worker in a statutory setting. 
• Knowledge of Legislation: Thorough understanding of relevant legislation, such as the Care Act 2014 and the Mental Capacity Act 2005.
• Skills: Strong assessment and analysis skills, as well as the ability to work effectively within a multidisciplinary team.
• Driving Licence: A full UK driving licence and access to a car are often required for client visits.

Why Liquid Personnel? 

• Free DBS and compliance service
• Twice weekly payroll and ‘Faster Pay’ service, getting you paid more quickly
• Access to exclusive roles that aren’t available from other agencies 
• Free access to Liquid’s exclusive social work training and CPD portal 
• Your own dedicated consultant with extensive social work knowledge 
• Access to a wide selection of social work positions across the UK 
• “Refer a Friend” bonus – get £500 for each social worker you refer who we successfully place* 
• “Find your own job” bonus – get £250 for bringing your own position to us * 

Liquid Personnel is an equal opportunities employer. Liquid Personnel Ltd is acting as an Employment Business in relation to this vacancy. * Terms and conditions apply to our bonus schemes. 

Reasonable Adjustments: 

If you consider yourself to have a disability or require any reasonable adjustment during the recruitment process or within the workplace, please highlight this at the earliest opportunity by contacting our team. With this information, we will provide appropriate support to you throughout the process and into your work placement. 
We are unable to support or accept applications from candidates who are residents within the Red or Amber list of the Code of practice for the international recruitment of health and social care personnel in England, based on the World Health Organisation (WHO) Workforce Support and Safeguard List. 
 

BH - 198067
GH - 34626

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

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

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

Job Summary

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

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

The Team

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

Responsibilities and Duties

Platform Ownership & Implementation

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

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

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

• Standardization & Governance

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

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

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

Integrations, Enablement, and Developer Experience

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

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

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

Research & Advanced Security Capabilities

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

Collaboration & Cross-Team Work

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

Candidate Profile

Essential:

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

Desirable:

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

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

About Graphcore

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

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

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

Job Summary

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

The Team

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

Responsibilities and Duties

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

Essential:

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

Desirable

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

Benefits

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

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

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

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

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

Job Summary

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

The Team

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

Responsibilities and Duties

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

Candidate Profile

Essential:

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

Desirable:

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

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

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

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

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

Job Summary

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

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

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

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

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

The Team

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

Responsibilities and Duties

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

Candidate Profile

Essential:

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

Desirable

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

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

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a 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

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

Location: Home Based - with daily travel to one of our three sites in Basingstoke (primary destination), Bristol (primary destination) and Banbury

About The Team:

The HelloFresh Delivery Network (HFDN) is a critical part of our UK growth strategy, improving customer experience while reducing cost to serve. As we expand the network, we are looking for a Regional Manager for the West, responsible for the performance, stability, and startup/scale-up of three delivery sites, including one small satellite location.This role sits at the heart of execution. You will own day to day regional performance across safety, service, and cost, while also playing a key role in expanding capability, embedding standards, and preparing sites for growth. The role requires a strong grounding in B2C home delivery operations, confidence managing multiple locations, and the ability to translate plans into consistent on-the-ground execution.

What You Will Be Doing:

• Own end-to-end performance across three HFDN sites in the West, ensuring consistent standards despite differences in scale and maturity
• Act as the senior operational lead for the region, accountable for service, cost,  safety, DSPs.
• Stabilise and scale new and smaller sites, ensuring they are operationally sound and aligned to HFDN ways of working
• Oversee final mile delivery operations, from box handover and van loading through to route execution
• Drive delivery accuracy, service reliability, and customer experience across all sites
• Work closely with planning and central teams to ensure routes are executable and efficiently delivered on the ground
• Work closely with central Logistics and HFDN development teams to embed new processes, tools, and standards
• Identify operational risks and improvement opportunities, using data to drive decisions
• Support future site launches and expansion activity in the region, acting as a key operational input
• Ensure high standards of health and safety and compliance across all sites
• Oversee cost control, invoice approval, and regional budget adherence
• Handle escalations relating to customer complaints, insurance claims, and delivery incidents

Who You Are:

• Proven experience leading multi-site logistics or home delivery operations, ideally within B2C, FMCG, or last-mile environments
• Comfortable owning regional performance rather than a single site
• Strong people leader with experience managing Drivers and site teams
• Confident operating in fast-changing environments, including new site launches or expansion phases
• Solid understanding of fleet operations, driver models, and final mile delivery challenges
• Data-driven, with the ability to balance cost, service, and safety
• Experienced in health and safety, incident management, and operational risk
• A demonstrable track record of reducing errors and improving operational performance at scale

What you will get in return:

• 70% off HelloFresh or Green Chef boxes
• Company pension scheme
• Gym membership
• Bupa private medical insurance (including dental & family cover options)
• Mental health first aiders and an employee assistance programme
• Dog friendly office! (London site only)
• Nursery support scheme
• Cycle to work scheme
• Group Life Assurance

Shifts: 6am to 3pm, Saturday to Wednesday, flexibility required

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks.

You are required to cooperate with HelloFresh in all health and safety matters. You are responsible for ensuring you take reasonable care of your own health, and safety as well as others who may be affected by the work activities you undertake. You must report incidents immediately and actively raise health and safety-related concerns to your Line Manager. As part of our commitment to maintaining a safe and secure environment, we will process Disclosure and Barring Service (DBS) checks to the successful individual. Failure to disclose relevant information at application or throughout the process could affect your employment with the company. 

If you are currently a HelloFresh employee, please make sure you have discussed your application with your Line Manager.

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

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 Graphcore 

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

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

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

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

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

Job Summary

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

The Team

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

Responsibilities and Duties

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

Candidate Profile

Essential:

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

Desirable

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

Benefits

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

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

About 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 System Software Engineer in Test, You will be responsible for design, development, execution and reporting of test and test harness to verify and validate firmware. 

You will be involved with the development team from the early phases to the final production software and ensure maximum coverage of functionality. 

You will be working with different Hardware configurations and required to collaborate closely with Hardware, bring up  and drivers teams to ensure our firmware plugs in seamlessly. 

As a senior member of the team, you will mentor junior members and raise the testing standards of the team. 

The Team

Firmware QA team validates the low-level software responsible for the complete boot, configuration, and monitoring of Graphcore silicon and hardware platforms. Test areas include: 

• Boot and power sequencing
• Low-level hardware interfaces and drivers
• Telemetry, monitoring and SMBus/BMC data exposure
• Silicon and system bring-up 

Responsibilities and Duties

• Design, Implement and deliver high quality tests for complex firmware features
• Support in debug and MTBF reduction of both internal and external incoming issues
• QA Ownership of Key features within the firmware
• Contribute to the continuous integration pipeline
• Support release test and release pipeline maintenance
• Active involvement in technical discussions and reviews for the team. 

Candidate Profile

Essential:

• Proven Firmware test experience
• Experience working on real time embedded systems
• Hardware testing knowledge
• Experience with testing low level drivers and interfaces. 
• Strong Proficiency in: C and Python.
• Possess excellent written and oral communication skills, good work ethics, high sense of teamwork, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to challenging problems.

Desirable

• Experience with server architecture or datacentre hardware
• Knowledge of server security concepts
• Experience in Platform security and openBMC. 

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. 

The Team

We are building a global Talent Acquisition function to support the rapid growth of Graphcore as we hire across EMEA, APAC and NAM regions. This means building the operational infrastructure for TA at the same time as delivering significant hiring volume.

This role is the operational backbone of recruitment: hiring data and reports, recruitment platforms, vendor relationships, and processes that enable the team to work efficiently at scale.

Initially, we will concentrate on structuring and clarifying hiring data. This involves producing accurate reports, relevant insights, and a clear overview of hiring plan delivery.More broadly, this role ensures the team has the systems, processes, and operational backing needed to do their best work.This is a hands-on role for someone who enjoys bringing structure to fast paced environments and building operational foundations that allow teams to scale.

Key Responsibilities 

Data & Reporting

One of the initial priorities for this role will be setting up clear, accurate reporting so the business has a trusted perspective on hiring demand, progress, and delivery.

You will:

• Develop and take responsibility for the Talent Acquisition reporting framework and dashboards bringing together data from Greenhouse, HRIS, Superset and other sources into a reliable reporting structure
• Establish consistent hiring metrics and reporting cadence for leadership
• Collaborate with Finance, People Data, and People Operations to coordinate hiring efforts with workforce planning
• Track pipeline health, time-to-hire, recruiter capacity and delivery against hiring plans
• Surface risks, bottlenecks and trade-offs to support prioritisation

Recruitment Systems & Tools

You will own and optimise the systems that support the hiring organisation.

• Act as primary administrator for the ATS (Greenhouse) managing workflows, permissions, interview stages and data governance
• Ensure systems are used consistently across global teams
• Maintain GDPR compliance, data retention and data quality
• Monitor integrations, APIs and overall system performance
• Find opportunities for automation, AI and tooling improvements
• Manage licences and usage across platforms such as HackerRank and LinkedIn
• Partner with IT to ensure tools meet security and integration requirements

Vendor & Agency Management

You will help ensure external partners support hiring efficiently and follow our processes.

• Maintain the framework for agency and vendor engagement, including terms of business and rate cards
• Support operational management of RPO and agency partners, useage and performance
• Ensure external partners follow internal hiring processes and systems
• Align recruiter capacity with hiring demand through the RPO flex model

Recruitment Process & Operational Excellence

Robust processes are already established. This position will unify them into a clear and consistent global framework.

• Review and refine recruitment processes to ensure they are scalable and consistently used
• Standardise recruitment workflows while allowing for regional requirements
• Maintain operational documentation across areas such as visas, relocation and hiring approvals
• Compliance & Audit readiness

TA Enablement 

This role will support the entire TA organisation in operating uniformly and providing a high-quality hiring experience.

• Own onboarding and operational training for recruiters, coordinators and RPO partners
• Update enablement materials to support global teams and new locations
• Promote regular use of systems, processes, and messaging throughout the team
• Support hiring managers with guidance on interviewing and scorecards
• Partner with the Employer Branding Specialist to maintain a consistent candidate experience

Skills & Experience 

We want someone experienced in TA Operations, able to quickly assess the present environment and improve the operational base that underpins our global hiring.

You should be comfortable operating in fast paced environments where infrastructure is still evolving and where bringing clarity and structure makes a meaningful difference.

Essential

• Experience in TA Operations, Recruiting or People Operations
• Strong experience building recruiting dashboards, metrics and operational reporting
• Understanding of recruiting data, hiring forecasts and workforce planning
• Proven ability to improve recruitment processes and introduce automation or tooling
• Proactive, highly organised with strong operational and analytical capability
• Comfortable bringing structure to ambiguity and pushing tasks through to completion
• Hands-on delivery approach — someone who builds and executes
• Strong communication and project management skills

Desirable

• Experience working in a high-growth technology company
• Experience supporting global hiring organisations scaling at pace

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.

Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and datacentre 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. Together, we are working to enable Artificial Super Intelligence and ensure that its benefits are accessible to everyone.

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

Essential skills

• 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
• 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

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, 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 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.