At a Glance
- Tasks: Design and optimise software for cutting-edge machine learning frameworks like PyTorch.
- Company: Join Graphcore, a leader in AI technology with a collaborative culture.
- Benefits: Enjoy flexible working, generous leave, health plans, and a vibrant office atmosphere.
- Other info: Be part of a diverse team committed to inclusivity and continuous improvement.
- Why this job: Make a real impact in the fast-paced world of machine learning and AI.
- Qualifications: Strong software engineering skills, Python experience, and knowledge of AI/ML.
The predicted salary is between 63000 - 77000 £ per year.
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 Py Torch and Triton.
This role sees you joining our Py Torch team, where you will be part of a SCRUM team working on delivering new features, optimising 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 Py Torch team as well as other engineering teams.
You help the team coordinate and deliver complex, open‑ended technical tasks.
You are pro‑active and an excellent communicator.
You will develop deep expertise in the Py Torch project and will (in time) contribute to the team’s technical direction and processes.
You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes.
Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer.
Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on frameworks other than Py Torch.
Responsibilities and Duties
- Designing and implementing 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 complex technical tasks with cross‑team dependencies.
- Managing code quality, code complexity and technical debt.
- Provide technical leadership, contributing the team’s technical direction and processes.
- Contributing to documentation, including user manuals and tutorials.
- Conducting code reviews.
- Resolving regressions, performance issues and software defects.
- Coaching and mentoring other team members.
- Contributing to a collaborative team culture.
- Contribute to continuous improvements to improve ways of working.
- Working with upstream open‑source development teams.
- Candidate Profile
- Demonstrable strong software engineering skills.
- Experience of Python development.
- Experience of developing performant C++ applications in a commercial setting.
At least one of
- Experience of writing ML kernels.
- Experience of compiler development.
- Experience of using and/or development of ML Frameworks.
- Experience in a computationally intensive engineering field.
- 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.
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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
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PyTorch Engineer Bristol, UK 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 PyTorch Engineer Bristol, UK
✨Join Local Tech Meetups
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✨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
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We think you need these skills to ace PyTorch Engineer Bristol, UK
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.
