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- Tasks: Manage compute infrastructure and optimise engineering workloads with innovative EDA tools.
- Company: Dynamic tech company in the UK with a focus on collaboration and innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a growing team and make an impact in the world of scalable AI compute.
- Qualifications: Experience with EDA tools, container orchestration, and infrastructure as code.
- Other info: Work in open offices in London and Bristol with a vibrant team culture.
The predicted salary is between 36000 - 60000 £ per year.
A tech company in the UK is seeking a candidate to manage compute infrastructure, support EDA tooling, and optimize engineering workloads. The role entails deploying resources, managing network services, and monitoring system performance.
Ideal candidates should have experience with:
- EDA tools
- Container orchestration
- Infrastructure as code
This position offers a collaborative atmosphere focused on innovation and rapid iteration with a growing team based in open offices in London and Bristol.
EDA Infrastructure Engineer: Scalable AI Compute in England employer: Fractile
Contact Detail:
Fractile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land EDA Infrastructure Engineer: Scalable AI Compute in England
✨Tip Number 1
Network, network, network! Get chatting with folks in the industry, especially those already working in EDA or AI compute. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to EDA tools and infrastructure as code. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on container orchestration and system performance monitoring. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace EDA Infrastructure Engineer: Scalable AI Compute in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with EDA tools and container orchestration. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our innovative team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've optimised engineering workloads or managed compute infrastructure in the past. We’re looking for candidates who can think on their feet and tackle challenges head-on!
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 Fractile
✨Know Your EDA Tools
Make sure you brush up on your experience with EDA tools before the interview. Be ready to discuss specific projects where you've used these tools and how they helped optimise workloads. This shows you not only have the technical skills but also understand their practical applications.
✨Showcase Your Infrastructure Skills
Prepare to talk about your experience with infrastructure as code and container orchestration. Have examples ready that demonstrate how you've deployed resources effectively and managed network services. This will highlight your hands-on experience and problem-solving abilities.
✨Emphasise Collaboration
Since the role is in a collaborative atmosphere, be prepared to discuss how you've worked in teams before. Share examples of how you contributed to group projects, especially in fast-paced environments. This will show that you're a team player who thrives in innovative settings.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team's current challenges or upcoming projects related to scalable AI compute. This demonstrates your genuine interest in the role and helps you gauge if the company culture aligns with your values.
