At a Glance
- Tasks: Join a team developing high-performance machine learning kernels for cutting-edge AI hardware.
- Company: Graphcore is a leading innovator in AI compute, part of the transformative SoftBank Group.
- Benefits: Enjoy unlimited holiday, private medical insurance, and a vibrant social scene with various activities.
- Other info: We value diverse backgrounds and offer a flexible approach to interviews.
- Why this job: Work at the forefront of AI technology in a collaborative, innovative environment with continuous learning.
- Qualifications: Must have a 2:1 or above in Computer Science or related field, with experience in C/C++.
The predicted salary is between 28800 - 48000 € per year.
Requirements: Please note, we are only considering students who have an established right to work in the UK.
About Graphcore
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.
About the role
We are looking for a Graduate Software Engineer 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.
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.
- On track or achieved a 2:1 or above in Computer Science or related subject area.
- Experience in C/C++.
- 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.
Prefered 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.
We are not looking for an instant expert but graduates with the hunger to learn, develop and contribute to Graphcore\'s future.
Graduates at Graphcore
A tailored onboarding and induction programme, that will get you up to speed with life at Graphcore, including a deep understanding of how the business operates. During your induction technical specialists will host knowledge sharing sessions, providing you the opportunity to build your network.
Once in your team, you can expect hands on experience, in a supportive environment to promote your learning. A typical day would involve working closely with peers and your manager to solve challenges as they arise.
You will also benefit from a buddy, mentor and access to talent development team that will support your softer skill development.
In addition to a very competitive salary, you will also have the freedom to make your own choices that work for you, starting with unlimited holiday. Our offices provide a well-stocked kitchen with healthy food, drinks and snacks and our very own barista! We have an active social scene across our offices too - from cycling, yoga, running and football right through to a board game group. Other benefits include;
- Flexible Holiday Policy
- Private Medical Insurance & Health cash plan
- Pension matched up to 5%
- Life assurance & income protection
- Employeeassistance programme
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.
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#J-18808-LjbffrGraduate Software Engineer - Core in Bristol employer: graphcore
Graphcore is an exceptional employer, offering a vibrant work culture that fosters continuous learning and innovation in the heart of the UK's tech landscape. With a commitment to employee growth through tailored onboarding, mentorship, and a flexible holiday policy, we empower our Graduate Software Engineers to thrive while enjoying unique perks like unlimited holiday and a well-stocked kitchen. Join us to be part of a diverse team dedicated to pioneering AI breakthroughs and making a meaningful impact across industries.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Software Engineer - Core in Bristol
✨Tip Number 1
Familiarise yourself with Graphcore's technology and products. Understanding their AI hardware and software will not only help you in interviews but also show your genuine interest in the company and its mission.
✨Tip Number 2
Engage with the AI and machine learning community online. Join forums, attend webinars, or participate in hackathons to enhance your knowledge and network with professionals who might provide insights or referrals.
✨Tip Number 3
Brush up on your C/C++ skills and get comfortable with performance optimisation techniques. Consider working on personal projects or contributing to open-source projects that involve these languages to demonstrate your capabilities.
✨Tip Number 4
Prepare for technical discussions by practising problem-solving questions related to numerical methods and linear algebra. This will help you articulate your thought process during interviews and showcase your analytical skills.
We think you need these skills to ace Graduate Software Engineer - Core in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant skills and experiences that align with the requirements of the Graduate Software Engineer position. Emphasise your knowledge in C/C++, Python, and any coursework related to machine learning or numerical computing.
Craft a Strong Cover Letter:Write a cover letter that showcases your passion for AI and software engineering. Discuss specific projects or experiences that demonstrate your problem-solving skills and ability to work collaboratively in a fast-paced environment.
Highlight Relevant Coursework:In your application, mention any relevant coursework or projects that involved machine learning frameworks, parallel programming, or performance optimisation. This will show your preparedness for the role and your eagerness to learn.
Proofread Your Application:Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role.
How to prepare for a job interview at graphcore
✨Show Your Passion for AI and ML
Graphcore is at the forefront of AI innovation, so it's crucial to express your enthusiasm for artificial intelligence and machine learning. Be prepared to discuss any projects or coursework related to these fields, showcasing your genuine interest in contributing to their mission.
✨Demonstrate Technical Knowledge
Since the role requires experience in C/C++ and familiarity with Python, make sure to brush up on these languages before the interview. Be ready to answer technical questions or even solve coding problems that demonstrate your understanding of low-level programming and optimisation techniques.
✨Prepare for Problem-Solving Scenarios
Graphcore values good problem-solving skills, so expect to encounter scenarios where you need to think critically. Practice explaining your thought process clearly and logically when tackling complex problems, as this will show your analytical reasoning abilities.
✨Emphasise Collaboration and Feedback
The company culture at Graphcore is collaborative, so highlight your ability to work well in teams and your openness to feedback. Share examples from your past experiences where you successfully collaborated with others or iterated on solutions based on constructive criticism.