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- Tasks: Design and implement cutting-edge deep learning libraries using C++ and CUDA.
- Company: Leading tech firm in Cambridge focused on transforming the industry.
- Benefits: Competitive salary, stock options, and a chance to work on innovative projects.
- Why this job: Join a well-funded scale-up and make a real impact in deep learning.
- Qualifications: Strong C++ skills and experience with parallel programming languages.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm in Cambridge is seeking a Deep Learning Libraries Engineer to design and implement critical aspects of their DL libraries, including kernels used by PyTorch. The ideal candidate will have strong C++ skills and experience with parallel programming languages. This is an exciting opportunity with a well-funded scale-up focused on transforming the industry. Competitive salary and stock options are offered.
High-Performance DL Libraries Engineer (C++, CUDA) in Cambridge employer: Women Thrive Magazine
Contact Detail:
Women Thrive Magazine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land High-Performance DL Libraries Engineer (C++, CUDA) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++ and CUDA. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding deep learning concepts. Practice common interview questions and maybe even do some mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace High-Performance DL Libraries Engineer (C++, CUDA) in Cambridge
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your C++ and CUDA expertise in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with parallel programming languages!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences to what we’re looking for in a Deep Learning Libraries Engineer.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with our team!
How to prepare for a job interview at Women Thrive Magazine
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss specific projects where you've used C++, especially in relation to performance optimisation and parallel programming. They’ll likely want to see how you approach problem-solving in this language.
✨Familiarise Yourself with CUDA
Since this role involves CUDA, it’s crucial to understand its architecture and how it integrates with deep learning frameworks like PyTorch. Try to prepare examples of how you've used CUDA in past projects, focusing on any performance improvements you achieved.
✨Understand Deep Learning Libraries
Get a good grasp of the deep learning libraries relevant to the role, particularly PyTorch. Familiarise yourself with the latest developments and be ready to discuss how you would contribute to their DL libraries. Showing enthusiasm for the technology can really set you apart.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of algorithms, data structures, and parallel programming concepts. Practise coding problems related to these areas, as they may ask you to solve a problem on the spot. Being calm and methodical in your approach will impress them.
