At a Glance
- Tasks: Lead the development of AI-driven compute infrastructures and manage high-performance clusters.
- Company: A leading technology firm at the forefront of innovation.
- Benefits: Competitive salary, travel opportunities, and a chance to work with cutting-edge technology.
- Why this job: Make an impact in AI by optimising compute resources and supporting model training workflows.
- Qualifications: Expertise in HPC environments, GPU administration, and scripting skills in Python or PowerShell.
- Other info: Exciting role with opportunities for travel across the UK and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm is looking for an HPC Systems Administrator, Associate Manager to lead the development of AI-driven compute infrastructures in London. This role involves designing and managing high-performance clusters, supporting AI model training workflows, and optimizing compute resources.
The ideal candidate will have:
- Expertise in HPC environments
- Experience with GPU administration
- Scripting skills in languages like Python and PowerShell
A competitive salary package is offered, with the requirement to travel to client sites across the UK as needed.
HPC Systems Admin – Associate Manager, GPU Clusters employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HPC Systems Admin – Associate Manager, GPU Clusters
✨Tip Number 1
Network like a pro! Reach out to folks in the HPC and AI communities on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! If you've got experience with GPU clusters or scripting, consider creating a small project or demo to showcase your expertise. This can really set you apart during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of HPC environments and be ready to discuss how you've optimised compute resources in the past. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace HPC Systems Admin – Associate Manager, GPU Clusters
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with HPC environments and GPU administration. 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 passionate about AI-driven compute infrastructures and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Show Off Your Scripting Skills: Since scripting in Python and PowerShell is key for this role, make sure to mention any relevant experience. If you've worked on projects that involved automation or optimisation, we want to hear about it!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at WeAreTechWomen
✨Know Your HPC Inside Out
Make sure you brush up on your knowledge of high-performance computing environments. Be ready to discuss your experience with GPU clusters and how you've optimised compute resources in the past. This will show that you're not just familiar with the concepts, but that you can apply them effectively.
✨Show Off Your Scripting Skills
Since scripting is a key part of this role, be prepared to talk about your experience with Python and PowerShell. Bring examples of scripts you've written or projects where you've used these languages to solve problems. This will demonstrate your technical prowess and problem-solving abilities.
✨Prepare for Scenario-Based Questions
Expect questions that put you in real-world situations related to AI model training workflows. Think about challenges you've faced in previous roles and how you overcame them. This will help you illustrate your critical thinking and decision-making skills during the interview.
✨Be Ready to Discuss Travel Flexibility
Since the role requires travel to client sites across the UK, be prepared to discuss your availability and willingness to travel. Showing that you're flexible and open to meeting clients in person can set you apart from other candidates who may not be as adaptable.