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- Tasks: Lead AI-driven chip design projects and tackle complex industry challenges.
- Company: Leading AI research firm at the forefront of technology.
- Benefits: Competitive salary, research opportunities, and a collaborative work environment.
- Why this job: Make a significant impact in AI and chip design while leading a dynamic team.
- Qualifications: Ph.D. in Computer Science and experience with Deep Learning frameworks.
- Other info: Join a team dedicated to groundbreaking innovations in AI.
The predicted salary is between 48000 - 72000 £ 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 City of 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 City of 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 participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your experience in Deep Learning frameworks like PyTorch and TensorFlow. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both tech and non-tech team members.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Chip Design Lead & Research Engineer in City of London
Some tips for your application 🫡
Show Off 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 showcasing your skills in Deep Learning frameworks like PyTorch and TensorFlow.
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 our needs, especially when it comes to leading teams and collaborating with hardware engineers.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and qualifications 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 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’ll likely be asked to discuss how you’ve applied these technologies in past projects.
✨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 face complex challenges during the interview that reflect real-world issues in chip design. Practice articulating your thought process and problem-solving strategies, showcasing your analytical skills and creativity in tackling these challenges.
✨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 the company aligns with your career aspirations.
