
CoMind · Bristol
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be he...
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring.
In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain
disorders, ultimately improving and saving the lives of patients across the world.
The Optical Engineering team at CoMind is responsible for the photonics systems at the heart of CoMind’s technology, designing and
developing the laser interferometry platform that enables continuous, non-invasive measurement of human physiology parameters. The
team spans optical system design, component selection and test, precision alignment, optical modelling, and integration with
mechanical and electronic subsystems.
As Staff Optics Engineer, you will be a senior individual contributor within the Optical Engineering team, taking ownership of
complex optical design challenges and contributing to the development and integration of the photonic platform from concept
through to validated hardware. You will have a strong background in developing and manufacturing complex photonic based products.
The role reports into the Optical Engineering Manager within the Product Development team.
You will work closely with component suppliers, research, product development and manufacturing teams to integrate leading edge
photonic components including fiber optics lasers, PICs, custom photodetectors into the products. With a strong background in
photonics based product design, you will work across optical system design, experimental characterisation, and subsystem
integration and manufacturing.
At CoMind, all team members work at least 4 days per week in the office, plus a flexible work-from-home day. This role can be
based in either the London (Kings Cross) or Bristol office.
delivery, optical path optimisation, and stray light management
signal-to-noise analysis under clinically relevant conditions
outputs into design specifications and tolerancing requirements
products.
cross-functionally to ensure coherent end-to-end performance
regulatory submissions
improve manufacturability
all team members to embrace AI in their daily work and continuously find new ways to use it effectively
outputs into validated hardware designs
assemblies
14971 and design control processes
optical coatings
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About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for an experiences Staff Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting-edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions. These include in-house AI systems alongside off-the-shelf high-performance servers, switches and storage solutions. This is a hand-on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure-as-Code, observability, high-performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team at Graphcore We build Graphcore products into large-scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre-release hardware and software, so it’s vital you are comfortable with unproven components. Responsibilities and Duties * Operate and extend existing OpenStack-based cloud services and contribute to the deployment and development of new ones. * Develop and operate end-user services on our clouds and support internal users in their use. You will turn end-user and product requirements into deployed services. * Help to build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues. Work with users to provide information of any product-related issues to Engineering and QA departments. * Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. * Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres. * Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required. * Work with external vendors of off-the-shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design. Skills and Experience [ALL REQUIRED] * Bachelor's degree or equivalent practical experience in a relevant subject. * Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor. * Experience managing or operating on-premises or private-cloud environments. * Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints. * Strong proven Linux scripting ability (bash and python required). * Strong proven Linux system administration (Ubuntu, RHEL and variants). * Experience with a version control system (preferably Git) and using it to manage system configuration or automation. * Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. * Hands-on experience deploying services into public or private clouds using Infrastructure-as-Code (IAC). * A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. * Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer). * Experience with container deployment and management tools (e.g. docker, podman, apptainer). * Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd ,Kafka * Good communication and presentation skills, and experience dealing with end-users of IT or cloud services. * An ability to work independently on critical infrastructure without oversight, and with a focus on end-user availability. Desirable but not required: * Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU ). * Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. * Strong skillset and experience in end-to-end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild. * Experience with managing production Kubernetes clusters and workloads. * Experience with workload queue management systems (SLURM, LSF, Kueue). * Experience with managed switch configuration (e.g. EOS, SONiC, DNOS). * Programming experience with Python3 utilising classes and inheritance. * Programming experience with Go. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
ABOUT THE JOB Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers. Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why. You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs. This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure. THE TEAM AND CULTURE The ML QA team is where Graphcore’s ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets. Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion. You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar. WHAT WE’RE LOOKING FOR · Strong experience in Machine Learning or ML-adjacent software engineering roles. · A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs. · Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools. · Strong Python skills for automation, experimentation, benchmarking and reporting. · Experience designing, running and analysing ML benchmarks or model experiments. · Confident debugging skills in Linux, with curiosity about model behaviour and system performance. BENEFITS · Unlimited annual leave · Up to 5% matched pension · Phantom equity – share in Graphcore’s success · True flexibility in how and where you work · Office spaces designed for collaboration · Free food and an on-site barista · Health cash plan · Income protection · Life assurance · Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. JOIN THE TEAM AT GRAPHCORE Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to validate the systems behind next generation AI compute, we’d love to hear from you. Apply now to help build what comes next.
ABOUT THE JOB Build the test systems that help deliver AI hardware at production scale. As a Staff Hardware System Test Engineer, you'll develop manufacturing test solutions for complex compute systems. Your work will help ensure products reach customers with the quality and reliability expected from Graphcore. You'll shape how hardware is tested across Host Processor Modules, server blades, and multi-node racks. The tools, test content, and diagnostics you create will directly influence manufacturing efficiency and product quality. You'll develop test software, design test approaches, and solve challenging hardware issues. You'll work closely with hardware, firmware, software, and manufacturing teams to improve test coverage and diagnose problems quickly. This role offers broad technical scope across silicon, boards, systems, software, and manufacturing. You'll have the opportunity to influence engineering decisions and raise technical standards across the organisation. THE TEAM AND CULTURE The Product Test and Diagnosis team owns the strategy for finding and diagnosing hardware defects throughout the product lifecycle. The team works across silicon, boards, servers, and rack-scale systems. Day to day, engineers work closely with design, firmware, software, quality, and manufacturing teams. Problems are solved through data, technical debate, and hands-on investigation. You'll join a global engineering group spanning the UK, Taiwan, India, and the United States. People are trusted to take ownership, make decisions, and drive improvements that deliver measurable results. WHAT WE'RE LOOKING FOR Essential: * Significant experience developing and deploying manufacturing test solutions for high-performance servers, accelerators (GPU-class), or comparable large-scale compute hardware. * Strong technical leadership as an individual contributor, with experience owning substantial technical workstreams and collaborating across multiple teams without direct line management responsibility. * Strong technical understanding across silicon, board, and system design sufficient to define effective manufacturing test coverage and lead complex debug/root-cause analysis. * Strong cross-functional collaboration skills, with experience working with internal software/firmware/platform teams to enable testability and diagnosability. * Hands-on experience using Linux, OpenBMC, and vendor-specific test tools, diagnostics, and system-level utilities to test hardware in lab and manufacturing environments. * Strong software engineering skills with scripting and automation (e.g., Python, Bash, or similar), including building reliable test infrastructure and integrating heterogeneous test content. 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 test optimisation and robust statistical/diagnostic approaches. * Knowledge of open-source tools commonly used for manufacturing test, system bring-up, and hardware diagnostics. * Experience designing testability/diagnosability features into products (e.g., telemetry, self-test hooks, debug interfaces) in partnership with design teams. BENEFITS * Unlimited annual leave * Up to 5% matched pension * Phantom equity – share in Graphcore’s success * True flexibility in how and where you work * Office spaces designed for collaboration * Free food and an on-site barista * Health cash plan * Income protection * Life assurance * Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. JOIN THE TEAM AT GRAPHCORE Graphcore is building the compute platform for the next generation of artificial intelligence. From advanced silicon to intelligent software, our technology is designed to unlock breakthroughs in AI and bring its benefits to every industry. As part of the SoftBank Group, we’re backed by one of the world’s most ambitious technology investors, working alongside companies shaping the future of AI. Together, we share a bold goal: to help enable artificial superintelligence and ensure it delivers meaningful impact at a global scale. At Graphcore, you’ll work with people who are pushing the boundaries of what’s possible. Our teams bring together AI researchers, chip designers, software engineers and systems experts from a wide range of backgrounds. It’s an environment where we take on big challenges with curiosity and focus, move quickly and decisively, take real ownership of our work, and speak up to challenge ideas, stepping up to support each other and lead through action. If you enjoy solving complex hardware challenges and want to influence how advanced AI systems are tested and delivered, we'd love to hear from you. Apply now to join Graphcore.