At a Glance
- Tasks: Design and optimise software for cutting-edge AI hardware using PyTorch.
- Company: Join Graphcore, a leader in AI innovation with a culture of continuous learning.
- Benefits: Enjoy flexible working, generous leave, private medical insurance, and more.
- Other info: Dynamic team environment with opportunities for career growth and mentoring.
- Why this job: Make a real impact in the AI field while developing your skills.
- Qualifications: Strong software engineering skills, Python and C++ experience, and knowledge of AI/ML.
The predicted salary is between 30000 - 50000 £ per year.
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. 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 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, optimising performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users. You help the team coordinate and deliver complex, open-ended technical tasks. You will develop deep expertise in the PyTorch 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.
The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely 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.
- 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.
- Coaching and mentoring other team members.
Demonstrable strong software engineering skills.
Experience of Python development.
Experience of developing performant C++ applications in a commercial setting.
Experience of writing ML kernels.
Experience of using and/or development of ML Frameworks.
Experience in a computationally intensive engineering field.
Demonstrable knowledge of AI/ML.
Experience in profiling / optimising high performance code.
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.
Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
Software Engineer - Pytorch (Hiring Immediately) in Cambridge 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 Software Engineer - Pytorch (Hiring Immediately) in Cambridge
✨Join Local Coding Meetups
Get involved in local coding meetups or tech events. These gatherings are perfect for networking with other software engineers, showcasing your skills, and even getting a chance to meet potential employers face-to-face. Plus, it's a great way to learn about part-time opportunities that might not be widely advertised.
✨Contribute to Open Source Projects
Dive into some open-source projects on platforms like GitHub. This not only enhances your coding skills but also builds a solid portfolio that shows potential employers your real-world experience. Open-source contributions can lead directly to job offers since many companies scout talent in the community.
✨Utilise University Career Services
If you're in or near university, make the most of those career services! They often have connections with local tech companies looking for part-time developers and can provide valuable resources for finding job leads or prep for interviews.
✨Showcase Your Work
Build a personal website or portfolio that highlights your projects, skills, and any relevant experience. It’s a fantastic way to stand out and we encourage you to link to it in your applications. Don't forget: you can easily apply for part-time roles through our website at graphcore—just remember to include that link!
We think you need these skills to ace Software Engineer - Pytorch (Hiring Immediately) in Cambridge
Some tips for your application 🫡
Highlight Your Coding Skills:Make sure to prominently feature your coding skills in your CV. List the programming languages and technologies you're comfortable with, as well as any relevant projects you've worked on. Don’t forget to link to your GitHub profile or any other coding platform where you showcase your work – it's a great way for us at graphcore to see your skills in action!
Show Off Your Problem-Solving Skills:As a part-time software developer, problem-solving is key. In your application, try to include examples of how you've tackled tough coding challenges or bugs. If you can quantify your achievements, even better! This not only shows your technical prowess but also your ability to think critically and creatively.
Tailor Your CV for Part-Time Work:For a part-time role, it’s essential to show that you’re flexible and can manage your time well. Within your CV, highlight any previous experience balancing multiple commitments or projects. It’ll reassure us that you can juggle responsibilities without compromising on quality.
Craft Your Cover Letter with Passion:Your cover letter is your chance to show us your enthusiasm for software development. Share why you're excited about joining graphcore specifically, and what you hope to gain from this part-time role. Your motivation and eagerness to learn can really set you apart from the crowd!
How to prepare for a job interview at graphcore
✨Show Off Your Code
Make sure to prepare a few coding samples or projects to share during your interview for the part-time software engineering position at graphcore. Potential employers love to see tangible evidence of your skills, so having a well-organised GitHub profile or portfolio can really make you stand out.
✨Brush Up on Problem Solving
Expect a few technical questions or coding challenges that assess your problem-solving abilities. Companies like graphcore often want to see how you think through a problem, so practise common algorithms and data structures to showcase your thought process and technical know-how.
✨Know Your Tools
Familiarise yourself with the specific programming languages and tools relevant to the role. If the job listing mentions languages like Python or JavaScript, make sure you can discuss your experience with them confidently. Knowing frameworks and libraries they use can give you an edge.
✨Highlight Your Flexibility
Since this is a part-time position, be ready to discuss how you can manage your time effectively and fit the role around your other commitments. Being able to demonstrate your adaptability and proactivity shows that you can balance work, study, or other responsibilities without dropping the ball for graphcore.
