At a Glance
- Tasks: Deploy and optimise cutting-edge GPU infrastructure for AI and HPC clusters.
- Company: Fast-growing AI infrastructure platform at the forefront of global tech.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with exposure to next-gen AI workloads and infrastructure automation.
- Why this job: Join a team shaping the future of AI with advanced technology and innovative projects.
- Qualifications: Experience in GPU cloud platforms, HPC systems, or large-scale data centres.
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 employer: Cititec
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
✨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. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of NVIDIA GPU infrastructure and Kubernetes. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨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 dive into the world of AI infrastructure.
We think you need these skills to ace AI Infrastructure Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GPU infrastructure, HPC systems, and cloud platforms. We want to see how your background aligns with the cutting-edge AI environments we're building.
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 let your passion shine through!
Showcase Relevant Skills:Don’t forget to mention your experience with tools like Kubernetes, Terraform, or Ansible. We’re keen on seeing how you’ve tackled challenges in high-performance environments, so be specific!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates!
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 environments and cloud platforms, 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 scaling 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. Knowing their projects and how they fit into the global AI buildout will show your genuine interest and help you align your answers with their goals.
✨Prepare Questions That Matter
Think of insightful questions to ask about the team dynamics, the technologies they use, and their future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
