2026 Summer Intern Software Engineering ML Kernels & Runtime Team
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Job Summary
About Us
Graphcore is one of the worlds 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 worlds most transformative technologies. Together they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcores teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists silicon designers software engineers and systems architects Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
We are looking for a Software Engineering Intern to join a team pioneering the development of high-performance machine learning (ML) kernels for a new generation of AI hardware.
In this role you will contribute to building optimised compute kernels that support a wide range of ML operatorspowering applications from convolutional neural networks (CNNs) to large language models (LLMs).
Youll leverage low-level programming and hardware-aware optimisation techniques to extract maximum performance and efficiency from modern accelerators. This is a unique opportunity to work at the intersection of ML numerical computing and scalable systems.
The Team
This is an exciting opportunity to join an expanding team at Graphcore. The Kernel Engineering team is responsible for delivering high performance compute library to help customers gain the maximum performance from AI hardware.
Responsibilities and Duties
- Supporting the design and implementation of kernels for linear algebra and tensor ops (GEMM batched GEMM convolutions reductions elementwise and fused operations) in C
- Profile and optimise for the next generation of AI hardware - threading cache locality memory layout and kernel launch efficiency.
- Support performance and correctness - add microbenchmarks regression tests numerics validation
- Debug issues resolve bugs and generally improve the quality and functionality of the product
About you
You are open-minded and collaborative with interests in performance optimisation and memory-efficient designs and you are looking to join a team of experts.
You are comfortable to discuss technical tradeoffs receive feedback and iterate on solutions and you are drawn to technically challenging problems and use analyticals reasoning to navigate unfamiliar domains.
Essential:
- Bachelor or Masters Degree in Computer Science Maths Machine Learning Data Science or related field
- Experirence in C/C11.
- Familiarity with Python or scripting tools for automation and testing.
- Understanding of linear algebra numerical methods or scientific computing.
- Good problem-solving skills and ability to work collaboratively in a fast-paced environment.
Preferred Qualifications:
- Courseworks or past experience in using ML frameworks parallel programming or code optimisation.
- Exposure to math libraries such as MKL or OpenBLAS.
- Knowledge of performance analysis tools.
Benefits
In addition to a competitive salary Graphcore offers flexible working a generous annual leave policy private medical insurance and health cash plan a dental plan pension (matched up to 5%) life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health mental wellbeing and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; were 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.
Required Experience:
Intern
