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 where innovation and continuous learning thrive. Employees benefit from flexible working arrangements, a generous annual leave policy, and comprehensive health plans, all while contributing to groundbreaking advancements in AI technology. With a strong focus on inclusivity and employee growth, Graphcore provides a unique opportunity to be part of a collaborative team that is shaping the future of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Pytorch (Hiring Immediately) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current employees at Graphcore on LinkedIn or other platforms. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project that showcases your work with PyTorch or similar frameworks, make sure to highlight it during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. We all know that practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Graphcore team.
We think you need these skills to ace Software Engineer - Pytorch (Hiring Immediately) in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Software Engineer - PyTorch. Highlight your experience with Python, C++, and any relevant machine learning frameworks. We want to see how your skills align with what we’re looking for!
Showcase Your Projects:Include any projects or contributions you've made in the AI/ML space, especially those involving PyTorch. This gives us a glimpse into your hands-on experience and passion for the field.
Craft a Compelling Cover Letter:Your cover letter should reflect your enthusiasm for Graphcore and the role. Share why you’re excited about working on cutting-edge AI technology and how you can contribute to our team’s success.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role promptly. Don’t miss out on this opportunity!
How to prepare for a job interview at graphcore
✨Know Your PyTorch Inside Out
Make sure you brush up on your PyTorch knowledge before the interview. Familiarise yourself with its latest features, common pitfalls, and best practices. Being able to discuss specific use cases or optimisations you've implemented will show your depth of understanding.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you tackled complex problems, especially in a machine learning context. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your analytical skills and ability to contribute to Graphcore's innovative environment.
✨Get Agile with Your Approach
Since the role involves working in a SCRUM team, be prepared to talk about your experience with agile methodologies. Share examples of how you've collaborated with teams, managed sprints, and delivered features iteratively. This will highlight your adaptability and teamwork skills.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions that show your interest in Graphcore's mission and culture. Inquire about their approach to continuous learning, how they handle technical debt, or the future direction of their frameworks. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.
