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Bristol, United Kingdom
From £2.5K/mo
● Strong current hiring demand for this role
PythonMachine LearningAIC++
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Active3d ago
Software Engineering Summer Intern, Drivers and Utilities 2027
Role overview
Job description
Location: Bristol, UK Duration: 12 weeks Salary: £2500 per month Start date: June 2027 Application deadline: Midnight 29th November We encourage you to apply early, as we may close applications before the advertised deadline. The Internship Programme at Graphcore Explore a career at Graphcore through a 12-week summer internship, gaining hands-on experience on real projects. You’ll bring fresh ideas, put your learning into practice and help shape what we’re creating. Along the way, you’ll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence. What you’ll work on Put your low-level programming skills to work on the drivers that connect Graphcore’s AI hardware with machine learning software. As a Software Engineering Intern in Drivers and Utilities, you’ll explore kernel and user-space development alongside en
…About this listing
- Listed from Graphcore's careers site via Greenhouse · last confirmed on the source 23 Oct 2026
- Posted 20 Oct 2026
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Role market pulse
How Software Engineer demand looks in United Kingdom
Live jobs
116
Posted 30d
63
30d movement
+75%
Remote share
7.8%
Salary listed
25%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
Depending on your performance and the roles available, there may be an opportunity to join one of our graduate programmes once you’ve graduated; What we’re looking for Currently studying for a bachelor’s or master’s degree in Computer Science, Maths, Machine Learning, Data Science or a related field Low-level software experience, such as embedded code or device drivers, and introductory programming experience in C, C++ or Python
Department · SW Device
Hiring company
Graphcore
Education
Graphcore has built a new type of processor for machine intelligence to accelerate machine learning and AI applications for a world of intelligent machines
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