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- Tasks: Design and develop advanced silicon for machine learning acceleration with a creative team.
- Company: Leading AI research company in Greater London, focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 7+ years in RTL design, strong Verilog/System Verilog skills, and a relevant degree.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI research company in Greater London is seeking a highly motivated Hardware Engineer to join their team. The ideal candidate will have over 7 years of experience in RTL design using Verilog/System Verilog, with a strong background in micro-architecture definition and verification.
The role involves collaboration with interdisciplinary teams to develop advanced silicon for machine learning acceleration. Candidates are expected to have a Bachelor's degree in Electrical Engineering or Computer Science and should possess hands-on knowledge of ML accelerator requirements.
ML Accelerator Hardware Architect in London employer: Google DeepMind
Contact Detail:
Google DeepMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Accelerator Hardware Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and hardware engineering fields. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your RTL design projects and any relevant work you've done in micro-architecture. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around Verilog/System Verilog and ML accelerator requirements. Practice common interview questions and maybe even do some mock interviews with friends.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace ML Accelerator Hardware Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in RTL design and micro-architecture. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about hardware engineering and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Collaboration Skills: Since this role involves working with interdisciplinary teams, mention any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action!
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 Google DeepMind
✨Know Your RTL Inside Out
Make sure you brush up on your RTL design skills, especially in Verilog/System Verilog. Be prepared to discuss specific projects where you've implemented these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Micro-Architecture Knowledge
Since the role involves micro-architecture definition, be ready to explain your understanding of different architectures. Bring examples of past work that highlight your ability to define and verify micro-architectures effectively.
✨Collaboration is Key
This position requires working with interdisciplinary teams, so be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked with others to achieve a common goal, particularly in hardware development.
✨Understand ML Accelerator Requirements
Familiarise yourself with the specific requirements for ML accelerators. Be ready to discuss how your hands-on knowledge can contribute to the development of advanced silicon, and think about how you can apply your expertise to meet the company's goals.
