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Paid Internship
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12Open Positions

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2026 Software Engineering Intern - ML Kernels & Runtime Team

Graphcore
Found 1 month ago
Location
Bristol, United Kingdom
Duration (Months)
4 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
competitive salary
Visa Help
Only UK
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • C/C++11
  • Python
  • linear algebra
  • numerical methods
  • scientific computing
  • ML frameworks
  • parallel programming
  • code optimisation
  • math libraries such as MKL or OpenBLAS
  • performance analysis tools

Soft Skills

  • open-minded
  • collaborative
  • technical tradeoffs
  • receive feedback
  • iterate on solutions
  • technically challenging problems
  • analyticals reasoning
  • work collaboratively in a fast-paced environment

Job Description

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 operators—powering applications from convolutional neural networks (CNNs) to large language models (LLMs). You'll 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.

Requirements

  • Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field
  • Experirence in C/C++11.
  • 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.

Related Field

  • Software Engineering

Related Subfield

  • Software QA & Testing

Languages

  • English

Nice to Haves

  • 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.
▶Apply Now

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