2026 Graduate Software Engineer - PyTorch

Reposted 16 Days Ago
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Bristol, England, GBR
Hybrid
Entry level
Artificial Intelligence • Semiconductor
Joining Graphcore gives you a seat at the top-table, shaping the future of Artificial Intelligence.
The Role
As a Graduate Software Engineer, you will develop and maintain software for ML frameworks, optimize performance, conduct code reviews, and support users.
Summary Generated by Built In

About Us 

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 enjoys a culture of continuous learning and constant innovation.  

 

Job Summary 

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton.  

This role sees you joining our PyTorch team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.  

In this role you will closely collaborate with other engineers, both within the PyTorch team as well as other engineering teams. You will contribute to the delivery of complex, open-ended technical tasks and develop deep expertise in the PyTorch project. You understand the importance of managing code quality and code complexity and balancing this against the team’s goals and deadlines.  

 

The Team 

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton and in future, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities.  

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.  

 

Responsibilities and Duties 

  • Supporting the design and implementation of new features & maintaining and supporting existing features.  
  • Developing and maintaining unit tests, component tests and integration tests.  
  • Optimising the software stack to make it more performant for our users.  
  • Managing code quality, code complexity and technical debt.  
  • Contributing to documentation, including user manuals and tutorials.  
  • Conducting code reviews.  
  • Resolving regressions, performance issues and software defects.  
  • Contribute to continuous improvements to improve ways of working.  
  • Working with upstream open-source development teams.  

 

Candidate Profile  

Essential: 

  • Bachelor or Master's in Computer Science, Maths, Machine Learning, Data Science, or related field  
  • Experience of Python development.  
  • At least one of:  
  • Experience of compiler development.  
  • Experience of using and/or development of ML Frameworks.  
  • Experience in a computationally intensive engineering field.  

Desirable: 

  • Demonstrable knowledge of AI/ML.  
  • Understanding of computing architectures.  
  • Experience of maintaining and supporting a complex code base.  
  • Experience in profiling / optimising high performance code.  
  • Experience of writing ML kernels.  

 

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.  

 

Top Skills

Jax
Python
PyTorch
TensorFlow
Triton

What the Team is Saying

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Dionysia
Dave
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The Company
HQ: Bristol
488 Employees
Year Founded: 2016

What We Do

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.

Why Work With Us

Our team is at the forefront of the machine intelligence revolution, enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.

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Graphcore Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.

Typical time on-site: 3 days a week
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