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For Companies At a Glance
- Tasks: Design and implement features for cutting-edge machine learning frameworks like PyTorch.
- Company: Join Graphcore, a leader in AI innovation and part of the SoftBank Group.
- Benefits: Tailored benefits based on experience, flexible working, and a culture of continuous learning.
- Other info: Dynamic team environment with opportunities for career growth and involvement in open-source communities.
- Why this job: Make a real impact in the AI field and collaborate with diverse, talented engineers.
- Qualifications: Experience in software development and strong communication skills are essential.
The predicted salary is between 60000 - 80000 £ 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. 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.
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 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. In this role you will closely collaborate with other engineers, both within the PyTorch 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 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 Team
The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. 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.
Responsibilities and Duties
- Designing and implementing new features
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.
Pytorch Engineer employer: Cerebras
Contact Detail:
Cerebras Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pytorch Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former Graphcore employees on LinkedIn. 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 showcasing your PyTorch expertise, make sure to highlight it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical challenges! Brush up on your coding skills and be ready to tackle some live coding exercises. Practising common algorithms and data structures can help you feel more confident.
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace Pytorch Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the PyTorch Engineer role. Highlight your experience with machine learning frameworks, especially PyTorch, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. Be sure to mention any collaborative projects or experiences that showcase your communication skills.
Showcase Your Projects: If you've worked on any interesting projects, especially those involving PyTorch or similar frameworks, make sure to include them in your application. We love seeing practical examples of your work and how you tackle challenges!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at Graphcore!
How to prepare for a job interview at Cerebras
✨Know Your PyTorch Inside Out
Make sure you brush up on your PyTorch knowledge before the interview. Familiarise yourself with its latest features, optimisations, and how it integrates with Graphcore's hardware. Being able to discuss specific use cases or projects you've worked on will show your passion and expertise.
✨Show Off Your Collaboration Skills
Since this role involves working closely with other engineers, be prepared to discuss your experience in team settings. Share examples of how you've successfully collaborated on projects, tackled challenges, and contributed to a positive team dynamic. Communication is key!
✨Prepare for Technical Questions
Expect some technical questions that test your problem-solving skills and understanding of machine learning frameworks. Practice coding problems related to performance optimisation and code quality management. This will help you demonstrate your ability to deliver business outcomes while maintaining high standards.
✨Embrace Flexibility and Learning
Graphcore values continuous learning and adaptability. Be ready to discuss how you've adapted to new technologies or frameworks in the past. Highlight your willingness to learn and grow, especially if you're asked about working with frameworks beyond PyTorch.