At a Glance
- Tasks: Design and own network architecture for cutting-edge GPU infrastructure in AI factories.
- Company: Join a stealth AI infrastructure company revolutionising large-scale GPU compute.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be the first senior network hire and set standards for future engineers.
- Why this job: Shape the future of AI infrastructure and make a real impact in tech.
- Qualifications: Experience with GPU clusters, InfiniBand, and multi-vendor networking required.
The predicted salary is between 80000 - 100000 € per year.
We are hiring a Senior Network Architect for a stealth AI infrastructure company building large scale GPU compute infrastructure for frontier AI customers. This is not a standard data centre networking role. The company is building AI factories at industrial scale, where the network fabric is as critical as the compute itself. A routing issue, congestion event or weak fabric design can directly impact customer training workloads.
This person will own network architecture across:
- GPU fabric
- InfiniBand
- RoCE v2
- Ethernet leaf spine
- Edge connectivity
- Peering
- Observability
- Deployment standards
- Operational handover
We are looking for someone who has:
- Deep GPU cluster or HPC deployment experience
- Strong InfiniBand production experience
- RoCE v2 experience at scale
- Ethernet fabric experience across BGP, ECMP and low latency operations
- IPv6 and public ASN experience
- Multi vendor experience across environments such as NVIDIA Mellanox, Arista, Juniper, Cisco, whitebox or ODM hardware
- Experience from a neo cloud, hyperscaler, major vendor, GPU infrastructure company, HPC platform or AI infrastructure provider
Must haves:
- You must have worked on real GPU deployments
- You must have multi vendor network experience
- You must come from a relevant AI infrastructure, hyperscale, vendor or HPC environment
Single vendor specialists or traditional enterprise networking profiles will not be the right fit. This is the first senior network hire and will set the standards future engineers build and operate against. If you have built, deployed or operated network fabrics for serious GPU infrastructure, this is a rare opportunity to shape the foundation of one of the most ambitious AI infrastructure builds in the market.
Senior Network Architect, GPU Fabric and AI Infrastructure employer: We Love Alfa
Join a pioneering stealth AI infrastructure company that is at the forefront of building large-scale GPU compute environments for cutting-edge AI applications. As a Senior Network Architect, you will not only play a crucial role in shaping the network architecture but also benefit from a dynamic work culture that fosters innovation and collaboration. With ample opportunities for professional growth and the chance to work with industry-leading technologies, this position offers a unique platform to make a significant impact in the rapidly evolving AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Network Architect, GPU Fabric and AI Infrastructure
✨Tip Number 1
Network with industry professionals! Reach out to people in your field on LinkedIn or at networking events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies of your previous GPU deployments and network architectures. This will help us see your hands-on experience and how you can contribute to our ambitious AI infrastructure.
✨Tip Number 3
Practice your interview skills! Mock interviews can help you articulate your experience with InfiniBand, RoCE v2, and other technologies. We want to hear how you’ve tackled challenges in your past roles.
✨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 us you’re genuinely interested in being part of our innovative team.
We think you need these skills to ace Senior Network Architect, GPU Fabric and AI Infrastructure
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GPU deployments and multi-vendor networks. We want to see how your skills align with the unique challenges of AI infrastructure, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI infrastructure and how your past experiences have prepared you to tackle the challenges we face in building large-scale GPU compute environments.
Showcase Your Technical Skills:Be specific about your technical expertise in areas like InfiniBand, RoCE v2, and Ethernet fabric. We’re looking for someone who can hit the ground running, so make sure to highlight any hands-on experience you have with these technologies.
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 to shape the future of AI infrastructure!
How to prepare for a job interview at We Love Alfa
✨Know Your Tech Inside Out
Make sure you’re well-versed in GPU cluster deployments, InfiniBand, and RoCE v2. Brush up on your knowledge of Ethernet fabrics and low latency operations. The interviewers will likely dive deep into these topics, so being able to discuss your hands-on experience confidently will set you apart.
✨Showcase Your Multi-Vendor Experience
Highlight your experience with various vendors like NVIDIA Mellanox, Arista, and Cisco. Be prepared to discuss specific projects where you’ve integrated different technologies. This role requires a broad understanding of multi-vendor environments, so demonstrating your adaptability will be key.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about past challenges you've faced with network congestion or routing issues and how you resolved them. Sharing concrete examples will help illustrate your expertise and thought process.
✨Understand the Company’s Vision
Research the company’s goals and the significance of building AI factories at scale. Being able to articulate how your skills align with their mission will show your genuine interest in the role. It’s not just about the tech; it’s about how you can contribute to their ambitious vision.
