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 environment with exposure to advanced AI compute technologies.
- Why this job: Join a team shaping the future of AI infrastructure on a global scale.
- Qualifications: Experience in cloud, HPC, or data centre engineering 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.
- Deployment and optimisation of GPU infrastructure environments
- Supporting large-scale AI / HPC clusters
- 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
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.
Infrastructure Network Engineer employer: Cititec
Cititec is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration within the rapidly evolving AI infrastructure sector. Employees benefit from extensive growth opportunities, working alongside industry leaders on cutting-edge projects in high-performance environments, all while enjoying a supportive atmosphere that values creativity and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Infrastructure Network Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI infrastructure space on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨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 bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of high-performance Linux environments and troubleshooting techniques. We recommend practising common interview questions related to AI infrastructure to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities in AI infrastructure, and applying directly can give you an edge. Let’s get you into that dream role!
We think you need these skills to ace Infrastructure Network Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with high-performance infrastructure and GPU deployments. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI infrastructure and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills:Don’t forget to mention your expertise in Linux, InfiniBand, and cloud infrastructure. We’re looking for candidates who can hit the ground running, so make sure these skills are front and centre in your application.
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 high-performance infrastructure, GPU deployments, and HPC systems. Brush up on your knowledge of Linux environments and InfiniBand networking, as these are crucial for the role. Being able to discuss specific projects or experiences will show your expertise.
✨Showcase Problem-Solving Skills
Prepare to discuss how you've tackled performance, reliability, and scaling challenges in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for interviewers to see your thought process and problem-solving abilities.
✨Understand the Company’s Vision
Research Cititec and their role in the AI infrastructure landscape. Familiarise yourself with their projects and goals, especially around large-scale compute environments. This will help you align your answers with their mission and demonstrate your genuine interest in the company.
✨Collaborative Mindset
Since the role involves working closely with networking, platform, and deployment engineering teams, be ready to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked with cross-functional teams to achieve common goals.
