At a Glance
- Tasks: Design and own network architecture for cutting-edge GPU AI infrastructure.
- Company: Stealth AI infrastructure company revolutionising GPU compute.
- Benefits: Competitive salary, flexible work environment, and growth opportunities.
- Other info: Join a dynamic team and set standards for future engineers.
- Why this job: Be a pioneer in shaping the future of AI infrastructure.
- Qualifications: Experience with GPU deployments and multi-vendor networking.
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 and 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 in London employer: We Love Alfa
As a Senior Network Architect at our stealth AI infrastructure company, 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 exceptional growth opportunities in a rapidly evolving field. Located in a vibrant tech hub, our company provides unique advantages such as access to industry-leading technologies and the chance to shape the future of AI infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Network Architect, GPU Fabric and AI Infrastructure in London
✨Tip Number 1
Network with industry professionals! Reach out to folks in your network or on platforms like LinkedIn. Engaging with people who are already in the AI infrastructure space can give you insider info and might even lead to referrals.
✨Tip Number 2
Showcase your expertise! When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with GPU deployments and multi-vendor environments. We want to see how your skills align with the cutting-edge work we're doing.
✨Tip Number 3
Prepare for technical interviews! Brush up on your knowledge of InfiniBand, RoCE v2, and Ethernet fabric operations. We’re looking for someone who can dive deep into these topics and demonstrate their practical application in real-world scenarios.
✨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 ambitious AI infrastructure journey.
We think you need these skills to ace Senior Network Architect, GPU Fabric and AI Infrastructure in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your deep GPU cluster or HPC deployment experience. We want to see how your background aligns with the unique challenges of building AI factories at scale, so don’t hold back!
Be Specific About Your Skills:When listing your skills, be specific about your experience with InfiniBand, RoCE v2, and Ethernet fabric. We’re looking for someone who knows their stuff, so use the right jargon and examples to showcase your expertise.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the requirements in our job description. We want to see that you understand what we’re looking for and how you fit into our vision.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
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 fabric and low latency operations, as these are crucial for the role. Being able to discuss specific projects or challenges you've faced will show your depth of experience.
✨Showcase Your Multi-Vendor Experience
Highlight your experience with various vendors like NVIDIA Mellanox, Arista, and Cisco. Be prepared to discuss how you’ve navigated different environments and what strategies you used to ensure seamless integration across platforms. This will demonstrate your versatility and adaptability.
✨Prepare for Scenario-Based Questions
Expect questions that put you in real-world scenarios, such as dealing with routing issues or congestion events. Think through your past experiences and be ready to explain how you would approach these challenges. This will help interviewers see your problem-solving skills in action.
✨Understand the Company’s Vision
Research the stealth AI infrastructure company and understand their goals and challenges. Being able to articulate how your skills align with their mission will set you apart. Show enthusiasm for the opportunity to shape the future of their network architecture.
