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- Tasks: Design AI accelerator architectures and collaborate with cross-functional teams.
- Company: Leading AI technology firm with an inclusive work culture.
- Benefits: Attractive compensation package and professional development opportunities.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Master's or Ph.D. in a relevant field and strong Python programming skills.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI technology firm is seeking a Senior R&D Engineer for System Architecture, focusing on memory design and inter-chip networking. The ideal candidate will have a Master's or Ph.D. in a relevant field and strong programming skills in Python.
Responsibilities include:
- Designing AI accelerator architectures
- Collaborating with cross-functional teams
An attractive compensation package and an inclusive work culture are offered.
Senior AI Hardware Architect - Memory & Interconnects in London employer: Axelera AI
Contact Detail:
Axelera AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Hardware Architect - Memory & Interconnects in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI hardware space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions related to memory design or inter-chip networking, make sure to highlight them in conversations. We want to see your passion and expertise shine through!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python programming skills and understanding AI accelerator architectures. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see what you bring to the table, so don’t hold back!
We think you need these skills to ace Senior AI Hardware Architect - Memory & Interconnects in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in memory design and inter-chip networking. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI technology and how your background makes you the perfect fit for our team. Let us know what excites you about this role!
Show Off Your Programming Skills: Since strong programming skills in Python are key for this position, make sure to mention any relevant projects or experiences where you’ve used Python effectively. We love seeing practical applications of your skills!
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 Axelera AI
✨Know Your Stuff
Make sure you brush up on the latest trends in AI hardware, especially around memory design and inter-chip networking. Familiarise yourself with relevant programming languages, particularly Python, as you'll likely be asked to demonstrate your coding skills or discuss your past projects.
✨Showcase Your Experience
Prepare to discuss specific examples from your previous roles that highlight your expertise in designing AI accelerator architectures. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to talk about your experience collaborating with others. Share examples of how you've successfully worked with different departments to achieve a common goal, and emphasise your communication skills.
✨Ask Thoughtful Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s projects and culture. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Consider asking about their approach to innovation in AI technology.
