Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI-driven chip design projects and collaborate with a dynamic team.
- Company: Leading AI research firm at the forefront of technology.
- Benefits: Competitive salary, innovative work environment, and opportunities for professional growth.
- Why this job: Make a real impact in the AI chip design industry with cutting-edge technologies.
- Qualifications: Ph.D. in Computer Science and experience with Deep Learning frameworks.
- Other info: Join a collaborative team focused on groundbreaking innovations.
The predicted salary is between 54000 - 84000 £ per year.
A leading AI research firm seeks a Technical Lead, Research Engineer to drive AI for Chip Design initiatives. You will leverage advanced machine learning technologies to tackle complex challenges affecting the chip design industry.
The ideal candidate will have a Ph.D. in Computer Science or related field, along with extensive experience in Deep Learning frameworks like PyTorch and TensorFlow.
This role involves leading a dynamic team and collaborating closely with hardware engineers to ensure groundbreaking innovations in AI.
AI Chip Design Lead & Research Engineer in London employer: Google DeepMind
Contact Detail:
Google DeepMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Chip Design Lead & Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and chip design fields on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects in machine learning and chip design. This can be a game-changer during interviews, giving you an edge over other candidates.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of Deep Learning frameworks like PyTorch and TensorFlow. We recommend doing mock interviews with friends or using online platforms to practice.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Chip Design Lead & Research Engineer in London
Some tips for your application 🫡
Showcase Your Expertise: Make sure to highlight your Ph.D. and any relevant experience in AI and chip design. We want to see how your background aligns with the role, so don’t hold back on those impressive projects you've worked on!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills mentioned in the job description, like your experience with PyTorch and TensorFlow. We love seeing candidates who take the time to connect their skills to our needs.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Let’s make sure your brilliance shines through without any 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 in AI chip design!
How to prepare for a job interview at Google DeepMind
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest advancements in AI and chip design. Brush up on your knowledge of Deep Learning frameworks like PyTorch and TensorFlow, as you might be asked to discuss specific projects or challenges you've faced using these technologies.
✨Showcase Your Leadership Skills
As a Technical Lead, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've successfully managed projects or guided teams in the past, focusing on collaboration with hardware engineers and driving innovation.
✨Prepare for Problem-Solving Questions
Expect to tackle complex challenges during the interview. Think about real-world problems in chip design that you've encountered and be ready to discuss your approach to solving them, especially using machine learning techniques.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current AI initiatives and future goals in chip design. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
