Graduate DevOps Software Engineer 2027, Graphcore
£45k
+ Equity
More information about location
2+ days a week in office
Advanced AI systems and services
Be an early applicant
Advanced AI systems and services
501-1000 employees
Be an early applicant
£45k
+ Equity
More information about location
2+ days a week in office
501-1000 employees
Company mission
To make machine learning faster, easier and more intelligent.
Role
Who you are
- Bachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, Data Science or a related field
- Knowledge of Python, Go, C++ or a similar programming language
- Experience developing or managing systems in Linux environments
- An understanding of continuous integration and continuous delivery (CI/CD), with the communication skills to explain your work and collaborate with others
- You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned
- Exposure or experience in Kubernetes, OpenStack, infrastructure as code tools such as Terraform or OpenTofu, GitHub Actions, build tools, high-performance computing (HPC), Grafana or cloud services such as AWS would be useful. These are additional strengths, rather than essential requirements
What the job involves
- As a Graduate Software Engineer in DevOps, you’ll help develop and maintain tools for software builds and releases
- You’ll deploy services using Kubernetes and Docker, and support cloud infrastructure managed through tools such as Terraform
- Working closely with teams developing Graphcore’s machine learning software stack, you’ll help automate repetitive tasks and improve the workflows engineers use every day
- You’ll join the Software Infrastructure team, building tools that help Graphcore engineers develop, test and release software for their state-of-the-art AI accelerators
- An engineering buddy will help you settle in, with senior engineers, tech leads and your manager supporting you as you grow
- In your first three months, you’ll work with fellow graduates on a project developing new capability that goes into production
- It’ll be something you can point to and say, “We built that”, and continue to own, develop, and maintain long-term
- Previous graduates have rolled out ArgoCD to manage the lifecycle of our entire kubernetes estate and Coder to provide development environments for engineers
- Coder remains our second highest volume service to this day
- Bring your questions and ideas
- Take responsibility for your work and speak up when you spot a problem or need support
- During the two-year programme, you’ll build practical experience in continuous integration and deployment, cloud infrastructure, containerisation, build engineering and release systems, and machine learning operations
- You’ll see how software moves from development to release and learn what it takes to make that possible at scale
- You’ll develop the judgement to understand what people need, weigh up different approaches and build solutions they can depend on
- Your manager understands the potential graduates bring and will help you build on your foundations, developing the skills and confidence to take on more complex engineering challenges
Application process
- Start date: September 2027
- Application deadline: Midnight, 29th November 2026
Our take
The hardware required to train AI models comes at a high cost, both financially and environmentally, producing millions of dollars in expenses and hundreds of tons of greenhouse gases. In response, Graphcore develops accelerator chips designed to expedite AI system training while significantly reducing power consumption.
AI accelerators like those crafted by Graphcore specialise in enhancing specific AI applications, such as artificial neural networks, deep learning, and machine learning. Utilising multicore designs and prioritising low-precision arithmetic or in-memory computing, these accelerators elevate the performance of large AI algorithms, achieving breakthrough results in natural language processing and computer vision.
Graphcore has ambitious plans to create an AI supercomputer, aiming to be one of the most powerful in its class. However, progress on this has extended beyond its planned 2024 debut, and the company was purchased by Softbank later that year. Though the acquisition by the Japanese multinational lowered Graphcore's valuation and highlighted structural problems in the local financing of UK tech pioneers, the buyout will undoubtedly aid the company in its ambitions to shape the future of AI computing.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Dec 2020
$222m
SERIES E
Feb 2020
$150m
SERIES D
Total funding: $682m
Company benefits
- Work-Life Balance: We believe you should have a good work-life balance. Everyone's situation is different, so we offer flexible working arrangements and start and finish times, allowing you to choose when to work from home or come into the office
- Wellbeing: We want to ensure that our employees have the resources and support they need to prioritise their health and wellbeing
- Healthcare: We offer Private Medical Insurance (PMI) to our employees to help them take care of their health and that of their loved ones
- Progression: We prioritise learning and development as an integral part of our culture at Graphcore. Our Talent Development team is dedicated to equipping all our employees with the necessary tools, resources, and support to enhance their skills and reach their full potential in their careers
- Pension: We believe that our employees deserve the best when it comes to planning for their future
- Income Protection: Graphcore understands that unforeseen circumstances can happen, and we want to ensure our employees have the necessary financial security in place
Company HQ
Old City, Bristol, UK
Leadership
Nigel Toon
(Co-Founder & Exec Chair)Previously the President and CEO at picoChip Designs (processors for telecoms). As well as the VP and GM of Europe at Altera (semiconductors, merged with Intel).
Simon Knowles
(Co-Founder & CTO)Founded two successful semiconductor companies, Element14 and Icera, for a combined value of over $1 billion.
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