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- Tasks: Deploy and optimise GPU infrastructure for cutting-edge AI projects.
- Company: Fast-growing AI infrastructure platform at the forefront of technology.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic role with exposure to advanced AI compute environments.
- Why this job: Join a team shaping the future of AI infrastructure on a global scale.
- Qualifications: Experience with GPU deployments, HPC systems, and cloud infrastructure.
The predicted salary is between 60000 - 80000 £ per year.
Cititec is working with a fast-growing AI infrastructure and GPU cloud platform scaling large-scale compute environments across Europe and the US. We’re looking to speak with AI Infrastructure Engineers who have experience working across high-performance infrastructure environments, GPU deployments, HPC systems, cloud infrastructure or large-scale data centre operations. This is a strong opportunity to join a business operating at the centre of the AI infrastructure buildout currently happening globally.
What you’ll be working on:
- Deployment and optimisation of GPU infrastructure environments
- Supporting large-scale AI / HPC clusters
- Infrastructure automation and operational scaling
- Working closely with networking, platform and deployment engineering teams
- Supporting critical infrastructure environments across compute, storage and networking
- Troubleshooting performance, reliability and scaling challenges across AI infrastructure stacks
Ideal background:
- GPU Cloud Platforms
- AI Infrastructure Providers
- Hyperscale Data Centres
- HPC Environments
- Cloud Infrastructure Platforms
- High-performance Linux environments
Experience across some of the below is highly valuable:
- NVIDIA GPU infrastructure
- Kubernetes
- Linux
- HPC environments
- InfiniBand / high-speed networking
- AI infrastructure deployments
- Bare metal infrastructure
- Terraform / Ansible / automation tooling
- Large-scale compute environments
What’s different about this opportunity:
This is not a traditional infrastructure role. The teams we support are building some of the most advanced AI compute environments currently being deployed globally, supporting large-scale GPU capacity and next-generation AI workloads. If you’re currently working within cloud, infrastructure, HPC or data centre engineering and want exposure to cutting-edge AI infrastructure environments, this is worth a conversation. Apply directly or reach out confidentially for more information.
AI Infrastructure Engineer in England employer: Cititec
Contact Detail:
Cititec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the AI infrastructure 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 land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to GPU deployments or HPC systems. We want to see what you can do, so let your work speak for itself!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of NVIDIA GPU infrastructure and Kubernetes. We’re looking for candidates who can hit the ground running, so being well-prepared will definitely give you an edge.
✨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 hearing from passionate candidates who are eager to join our cutting-edge team.
We think you need these skills to ace AI Infrastructure Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GPU deployments, HPC systems, and cloud infrastructure. We want to see how your background aligns with the cutting-edge AI infrastructure environments we're building.
Showcase Relevant Skills: Don’t forget to mention your skills in automation tools like Terraform or Ansible, and any experience with NVIDIA GPU infrastructure. This is your chance to shine, so let us know what you bring to the table!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about working in AI infrastructure. Share specific examples of your past work that relate to the role, and show us your passion for the field.
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 AI infrastructure!
How to prepare for a job interview at Cititec
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like NVIDIA GPU infrastructure and Kubernetes. Brush up on your knowledge of HPC systems and cloud infrastructure, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles, especially around troubleshooting performance and reliability issues. Use examples that highlight your ability to optimise and scale AI infrastructure environments.
✨Understand the Company’s Vision
Research Cititec and their role in the AI infrastructure landscape. Understanding their mission and how they fit into the global AI buildout will help you align your answers with their goals and demonstrate your genuine interest in the position.
✨Prepare Questions for Them
Think of insightful questions to ask about their current projects or future plans in AI infrastructure. This shows that you’re not just interested in the role but also in how you can contribute to their success and grow within the company.