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- Tasks: Develop and maintain cutting-edge infrastructure for silicon development in AI technology.
- Company: Leading AI tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a rapidly expanding team and work on groundbreaking AI technologies.
- Qualifications: Experience with EDA tooling, workload management, and modern software development processes.
- Other info: Dynamic environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI technology company in Greater London is seeking an exceptional Infrastructure Engineer to develop and maintain the foundational infrastructure for silicon development. The role involves managing compute resources and networks, utilizing infrastructure-as-code frameworks.
Candidates should have experience with EDA tooling, workload management tools, and modern software development processes. The position offers an opportunity to work in a rapidly expanding team focused on groundbreaking AI technologies.
Scale-Driven EDA Infrastructure Engineer in London employer: Fractile
Contact Detail:
Fractile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scale-Driven EDA Infrastructure Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and infrastructure space on LinkedIn or at industry events. Building connections can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to EDA tooling and infrastructure-as-code. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of workload management tools and modern software development processes. Practice common interview questions and consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Scale-Driven EDA Infrastructure Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with EDA tooling and infrastructure-as-code frameworks. 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 AI technologies and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: When filling out your application, be specific about your technical skills, especially in workload management tools and modern software development processes. We love seeing concrete examples of your expertise!
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 in our rapidly expanding team!
How to prepare for a job interview at Fractile
✨Know Your EDA Tools
Make sure you brush up on your experience with EDA tooling. Be ready to discuss specific tools you've used and how they contributed to your projects. This shows you’re not just familiar with the concepts but have practical knowledge that can benefit the team.
✨Showcase Your Infrastructure Skills
Prepare examples of how you've managed compute resources and networks in previous roles. Highlight any experience with infrastructure-as-code frameworks, as this is crucial for the position. Real-world examples will help demonstrate your expertise.
✨Understand Workload Management
Familiarise yourself with workload management tools and be prepared to discuss how you've optimised workloads in past projects. This will show that you understand the importance of efficiency in infrastructure management.
✨Emphasise Team Collaboration
Since this role is part of a rapidly expanding team, be ready to talk about your experience working in collaborative environments. Share how you’ve contributed to team success and adapted to new technologies, especially in the context of AI.
