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- Tasks: Write C++ code, optimise algorithms, and apply AI in compiler development.
- Company: Global tech company based in London with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a team shaping the future of computing and AI with cutting-edge technologies.
- Qualifications: PhD in a related field and experience in parallel computing and software design.
- Other info: Dynamic work environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A global technology company in London seeks a Software Engineer for its TPU Compiler team. The ideal candidate will be involved in writing C++ code, optimizing algorithms, and applying AI to compiler development.
A PhD in a related field is required along with experience in parallel computing and software design.
Join us to work on cutting-edge technologies that will shape the future of computing and AI.
TPU Compiler Engineer (PhD) – Early Career in London employer: Google Inc.
Contact Detail:
Google Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land TPU Compiler Engineer (PhD) – Early Career in London
✨Tip Number 1
Network like a pro! Reach out to folks in the TPU Compiler field on LinkedIn or at tech meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your C++ prowess and algorithm optimisation, make sure to highlight it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on parallel computing concepts and software design principles. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 are proactive about their job search!
We think you need these skills to ace TPU Compiler Engineer (PhD) – Early Career in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in C++ coding and parallel computing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research from your PhD.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about compiler development and AI. We love seeing candidates who can connect their academic background to our cutting-edge work.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex problems in software design or algorithm optimisation. We’re looking for innovative thinkers who 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 this exciting opportunity on our TPU Compiler team!
How to prepare for a job interview at Google Inc.
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss your previous projects and how you've applied C++ in real-world scenarios, especially in relation to compiler development.
✨Showcase Your Algorithm Optimisation Skills
Be ready to talk about specific algorithms you've optimised in the past. Think of examples where you improved performance or efficiency, and be prepared to explain your thought process and the impact of your work.
✨Demonstrate Your Understanding of AI in Compilers
Since the role involves applying AI to compiler development, make sure you can discuss how AI techniques can enhance compiler performance. Bring examples of any relevant research or projects you've worked on that intersect AI and compilers.
✨Prepare for Technical Questions on Parallel Computing
Given the emphasis on parallel computing, expect technical questions in this area. Review key concepts and be ready to solve problems on the spot. Practising coding challenges related to parallel algorithms could give you an edge.
