At a Glance
- 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 next-gen AI workloads and excellent career prospects.
- Why this job: Join a team building advanced AI compute environments and make a real impact.
- Qualifications: Experience in GPU deployments, HPC systems, or cloud infrastructure is essential.
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:
We're interested in people coming from environments such as:
- 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 London employer: LinkedIn
At Cititec, we pride ourselves on being at the forefront of AI infrastructure innovation, offering our employees a dynamic work culture that fosters collaboration and creativity. With a strong focus on professional development, we provide ample opportunities for growth within the rapidly evolving field of AI and cloud technology. Join us in a vibrant environment where your contributions directly impact the future of AI infrastructure across Europe and the US.
StudySmarter Expert Advice🤫
We think this is how you could land AI Infrastructure Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI infrastructure space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got experience with GPU deployments or HPC systems, make sure to highlight those in conversations. We want to see how you can bring value to our cutting-edge projects.
✨Tip Number 3
Don’t be shy about asking questions during interviews. It shows you're genuinely interested and helps us gauge your understanding of the AI infrastructure landscape.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re keen on joining our team directly.
We think you need these skills to ace AI Infrastructure Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GPU infrastructure and HPC systems. We want to see how your background aligns with the cutting-edge AI environments we're building.
Showcase Relevant Skills:Don’t forget to mention your skills in automation tools like Terraform or Ansible. We’re keen on seeing how you can contribute to our operational scaling and infrastructure automation.
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 experiences that relate to the role, especially in high-performance environments.
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 get you into our system quickly!
How to prepare for a job interview at LinkedIn
✨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 environments 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 think critically and solve complex problems in high-performance 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.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and the future projects they have lined up. This shows that you’re not just interested in the job, but also in how you can contribute to their success.
