HPC & AI Platform Engineer — Scale GPU Compute
HPC & AI Platform Engineer — Scale GPU Compute

HPC & AI Platform Engineer — Scale GPU Compute

Full-Time 50000 - 70000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Manage large-scale HPC and GPU clusters while ensuring smooth platform operations.
  • Company: Join a mission-driven start-up focused on renewable energy and innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Why this job: Make a real impact in diverse sectors like healthcare and finance with cutting-edge technology.
  • Qualifications: Experience in system administration, Ansible, and GPU allocation required.
  • Other info: Dynamic environment with a focus on sustainability and innovation.

The predicted salary is between 50000 - 70000 £ per year.

A cutting-edge technology company seeks a Platform Engineer (HPC & AI) in the United Kingdom. The ideal candidate will manage large-scale HPC and GPU clusters, implement resource management systems, and ensure platform operations run smoothly.

Candidates should have experience in system administration, Ansible, and GPU allocation, along with excellent communication skills.

You will join a mission-driven start-up focused on renewable energy, making an impact in diverse sectors like healthcare and finance.

HPC & AI Platform Engineer — Scale GPU Compute employer: Carbon3ai Limited.

Join a pioneering technology company that champions innovation and sustainability in the heart of the United Kingdom. As a Platform Engineer, you'll thrive in a collaborative work culture that prioritises employee growth and development, offering unique opportunities to work on impactful projects in renewable energy across various sectors. With a commitment to cutting-edge technology and a mission-driven approach, this is an excellent place for those seeking meaningful and rewarding employment.
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Contact Detail:

Carbon3ai Limited. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land HPC & AI Platform Engineer — Scale GPU Compute

Tip Number 1

Network like a pro! Reach out to folks in the HPC and AI space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Tip Number 2

Show off your skills! If you’ve got experience with Ansible or managing GPU clusters, make sure to highlight that in conversations. We want to see you demonstrate your expertise and how you can contribute to our mission-driven start-up.

Tip Number 3

Prepare for technical interviews by brushing up on your system administration knowledge. We recommend practising common scenarios you might face when managing large-scale HPC systems. The more prepared you are, the more confident you’ll feel!

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 take the initiative to connect directly with us.

We think you need these skills to ace HPC & AI Platform Engineer — Scale GPU Compute

HPC Management
GPU Cluster Management
Resource Management Systems
System Administration
Ansible
GPU Allocation
Communication Skills
Problem-Solving Skills
Platform Operations Management
Experience in Renewable Energy Sector

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with HPC and GPU clusters. We want to see how your skills in system administration and Ansible can shine through, so don’t hold back!

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our mission-driven start-up. Share your passion for renewable energy and how your background aligns with our goals.

Show Off Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. Use clear and concise language, and don’t forget to proofread for any typos!

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!

How to prepare for a job interview at Carbon3ai Limited.

Know Your HPC & AI Stuff

Make sure you brush up on your knowledge of high-performance computing and artificial intelligence. Be ready to discuss your experience with managing large-scale HPC and GPU clusters, as well as any specific projects you've worked on that showcase your skills in this area.

Show Off Your System Administration Skills

Prepare to talk about your system administration experience, especially with tools like Ansible. Have examples ready that demonstrate how you've implemented resource management systems or optimised platform operations in previous roles.

Communicate Clearly

Since excellent communication skills are a must, practice explaining complex technical concepts in simple terms. This will not only show your understanding but also your ability to work effectively within a team and with non-technical stakeholders.

Align with Their Mission

Research the company’s focus on renewable energy and its impact on sectors like healthcare and finance. Be prepared to discuss how your values align with their mission and how you can contribute to their goals in a meaningful way.

HPC & AI Platform Engineer — Scale GPU Compute
Carbon3ai Limited.

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