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- Tasks: Develop high-performance machine learning kernels for cutting-edge AI hardware.
- Company: Leading AI compute company based in vibrant Bristol.
- Benefits: Flexible working, private medical insurance, and a supportive work environment.
- Why this job: Join a dynamic team and make an impact in the AI revolution.
- Qualifications: Bachelor's or Master's degree in a related field with C/C++ experience.
- Other info: Exciting opportunities for growth in a fast-paced tech environment.
The predicted salary is between 28800 - 48000 £ per year.
A leading AI compute company based in Bristol is seeking a Graduate Software Engineer to join its Kernel Engineering team. You will contribute to developing high-performance machine learning kernels for AI hardware, involving optimization techniques and C++ programming.
The role requires a Bachelor's or Master's degree in a related field and experience in C/C++.
The company offers benefits including flexible working, private medical insurance, and a supportive work environment.
Graduate ML Kernel Engineer - High-Performance AI Hardware in Bristol employer: Cerebras
Contact Detail:
Cerebras Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate ML Kernel Engineer - High-Performance AI Hardware in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++ and machine learning. We want to see what you can do, so make sure to highlight any optimisations you've implemented.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI hardware. We recommend practicing common algorithms and optimisation techniques to impress the interviewers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Graduate ML Kernel Engineer - High-Performance AI Hardware in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C/C++ and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about high-performance AI hardware and how you can contribute to our Kernel Engineering team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any machine learning or optimisation projects, make sure to mention them! We love seeing practical examples of your work, especially if they relate to the role.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Cerebras
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss optimisation techniques and demonstrate your understanding of how they apply to high-performance machine learning kernels.
✨Research the Company and Its Products
Familiarise yourself with the company’s AI hardware and any recent projects or innovations. This will not only show your interest but also help you ask insightful questions during the interview.
✨Prepare for Technical Questions
Expect technical questions related to kernel engineering and performance optimisation. Practise coding problems and be ready to explain your thought process clearly, as this will showcase your problem-solving skills.
✨Show Enthusiasm for AI and Machine Learning
Express your passion for AI and machine learning during the interview. Share any relevant projects or experiences that highlight your commitment to the field, as this can set you apart from other candidates.
