At a Glance
- Tasks: Join our team to design and optimise software for cutting-edge AI hardware.
- Company: Graphcore, a leader in AI innovation with a culture of continuous learning.
- Benefits: Flexible working, generous leave, private medical insurance, and a barista bar!
- Other info: Inclusive environment with excellent career growth and support for all.
- Why this job: Make a real impact in the machine learning industry and work with top tech.
- Qualifications: Degree in Computer Science or related field; experience in Python/C++ and AI/ML.
The predicted salary is between 25650 - 31350 £ per year.
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.
Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
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 using machine learning frameworks such as Py Torch and Triton.
This role sees you joining our Triton 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.
The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and Tensor Flow.
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.
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.
~ Resolving regressions, performance issues and software defects.
~ Bachelor or Master's degree in Computer Science, Maths, Machine Learning, Data Science, or related field
~ Hands-on experience with Python/C++ development.
~ Demonstrable knowledge of AI/ML.
~ Experience in profiling / optimising high performance code.
~ Experience of using and/or development of ML Frameworks.
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’re committed to building an inclusive work environment that makes Graphcore a great home for everyone.
We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
AI Graduate Software Engineer in Bristol employer: graphcore
Graphcore is an exceptional employer, offering a dynamic work environment in the heart of Bristol and London, where innovation thrives. With a strong focus on employee growth, we provide opportunities to engage in cutting-edge AI technology while enjoying benefits like flexible working, generous leave policies, and comprehensive health plans. Our inclusive culture fosters collaboration among diverse talents, ensuring that every team member can make a meaningful impact on the future of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land AI Graduate Software Engineer in Bristol
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at graphcore or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to graphcore.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like graphcore.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like graphcore that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Graduate Software Engineer in Bristol
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at graphcore.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at graphcore and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at graphcore
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If graphcore uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
