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- Tasks: Develop high-performance machine learning kernels for cutting-edge AI hardware.
- Company: Leading AI technology firm in Bristol with a focus on innovation.
- Benefits: Flexible working, competitive salary, and comprehensive health plans.
- Why this job: Join a collaborative team and tackle complex challenges in AI.
- Qualifications: Relevant degree and strong skills in C/C++ required.
- Other info: Exciting opportunities for growth in a dynamic tech environment.
The predicted salary is between 28800 - 43200 £ per year.
A leading AI technology firm in Bristol is seeking a Graduate Software Engineer to join their Kernel Engineering team. The role focuses on developing high-performance machine learning kernels for advanced AI hardware.
Candidates should possess a relevant degree and strong skills in C/C++. Ideal applicants are problem-solvers, eager to tackle complex challenges in a collaborative environment.
The firm offers competitive benefits, including flexible working and comprehensive health plans.
Graduate ML Kernel Engineer (C++) - High-Performance AI in Bristol employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate ML Kernel Engineer (C++) - High-Performance AI in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C/C++. This gives us a chance to demonstrate our problem-solving abilities and technical prowess.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to machine learning and C++. We should also be ready to discuss how we approach complex challenges in a team setting.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in joining the team.
We think you need these skills to ace Graduate ML Kernel Engineer (C++) - High-Performance AI in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in C/C++ and any relevant projects or coursework. We want to see how your background aligns with the role of a Graduate ML Kernel Engineer, so don’t hold back on showcasing your problem-solving abilities!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity to work on high-performance machine learning kernels. Let us know how your passion for AI and collaborative work makes you a great fit for our team.
Showcase Your Projects: If you've worked on any projects related to machine learning or high-performance computing, make sure to mention them! We love seeing practical examples of your skills and how you tackle complex challenges, so include links or descriptions where possible.
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 Graduate Software Engineer position. Plus, it’s super easy to do!
How to prepare for a job interview at graphcore
✨Know Your C/C++ Inside Out
Make sure you brush up on your C and C++ skills before the interview. Be prepared to discuss your projects and any challenges you faced while coding. Practising coding problems related to performance optimisation can really help you stand out.
✨Understand Machine Learning Basics
Since the role focuses on machine learning kernels, it’s crucial to have a solid grasp of machine learning concepts. Familiarise yourself with different algorithms and their applications. Being able to discuss how these relate to high-performance computing will impress your interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or coding challenges during the interview. Think through your problem-solving process out loud, as this demonstrates your analytical thinking and collaborative approach. Don’t hesitate to ask clarifying questions if needed!
✨Research the Company Culture
Get to know the company’s values and work environment. Since they emphasise collaboration, think of examples from your past experiences where you worked well in a team. Showing that you align with their culture can give you an edge over other candidates.
