At a Glance
- Tasks: Design and own network architecture for cutting-edge GPU AI infrastructure.
- Company: Join a stealth AI infrastructure company revolutionising 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.
- Qualifications: Experience in GPU deployments 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. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
As a Senior Network Architect at our stealth AI infrastructure company in London, you will be part of a pioneering team dedicated to building cutting-edge GPU compute infrastructure for frontier AI customers. We offer a dynamic work culture that fosters innovation and collaboration, alongside opportunities for professional growth in a rapidly evolving field. With competitive benefits and the chance to shape the future of AI infrastructure, this role is perfect for those seeking meaningful and impactful employment.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Network Architect, GPU Fabric and AI Infrastructure. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network, network, network! Get in touch with people in the AI infrastructure space. Attend meetups, webinars, or industry events where you can connect with potential employers or colleagues. The more connections we make, the better our chances of landing that dream job!
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects and achievements in GPU deployments and network architecture. This gives us a chance to demonstrate our expertise beyond just a CV and makes us stand out in the hiring process.
✨Tip Number 3
Prepare for technical interviews by brushing up on key concepts related to InfiniBand, RoCE v2, and Ethernet fabric. We should be ready to discuss our hands-on experience and problem-solving skills in detail, as this role demands a deep understanding of complex networking issues.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows that we’re genuinely interested in being part of the team. Let’s make sure our application stands out by tailoring it to highlight our relevant experience in AI infrastructure and GPU networking.
We think you need these skills to ace Senior Network Architect, GPU Fabric and AI Infrastructure. Job in London LilyLifestyle Jobs
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 background aligns with the unique requirements of this role, so don’t hold back on showcasing your relevant skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this Senior Network Architect position. Share specific examples of your work with InfiniBand, RoCE v2, and Ethernet fabrics, and explain how you can contribute to our ambitious AI infrastructure goals.
Showcase Your Problem-Solving Skills:In your application, highlight instances where you've tackled complex networking issues or optimised network performance. We’re looking for someone who can think critically about network architecture, so let us know how you’ve made an impact in previous roles!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Tech Inside Out
Make sure you’re well-versed in GPU cluster deployments and InfiniBand production. Brush up on your knowledge of RoCE v2, Ethernet fabric, and low latency operations. Being able to discuss these topics confidently will show that you’re the right fit for this cutting-edge role.
✨Showcase Your Multi-Vendor Experience
Prepare examples of your work with various vendors like NVIDIA Mellanox, Arista, and Cisco. Highlight specific projects where you’ve successfully integrated different technologies. This will demonstrate your versatility and ability to adapt to complex environments.
✨Understand the Bigger Picture
This isn’t just about networking; it’s about how the network fabric impacts AI workloads. Be ready to discuss how routing issues or congestion can affect performance. Showing that you grasp the importance of network architecture in AI infrastructure will set you apart.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about the company’s vision for AI infrastructure and how they plan to tackle challenges in network design. This shows your genuine interest and helps you assess if the company aligns with your career goals.
