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 innovative AI environments and career advancement.
- Why this job: Join a team shaping the future of AI with advanced infrastructure solutions.
- 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 Nottingham 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, all while working in a supportive environment that values cutting-edge solutions and teamwork. Join us in a location that is central to the AI revolution, where your contributions will directly impact the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Infrastructure Engineer in Nottingham
✨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, don’t just mention it—bring it up in conversations. Share your projects and successes to make a lasting impression.
✨Tip Number 3
Tailor your approach! When you’re chatting with potential employers, highlight how your background fits their needs. They want to know how you can help them scale their AI infrastructure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace AI Infrastructure Engineer in Nottingham
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 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 working in AI infrastructure and how your skills can contribute to our team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Technical Skills:Don’t forget to mention your experience with tools like Kubernetes, Terraform, and any high-performance Linux environments. We’re keen on seeing how you’ve tackled challenges in previous roles, especially in large-scale compute environments.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining us in building cutting-edge AI infrastructure!
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.
✨Familiarise Yourself with Automation Tools
Since automation is key in this role, make sure you can talk about your experience with tools like Terraform and Ansible. Be ready to explain how you’ve used these tools to optimise infrastructure and improve operational efficiency.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI infrastructure projects and their future plans. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
