At a Glance
- Tasks: Design and manage cutting-edge network architecture for large-scale GPU and AI infrastructure.
- Company: Join a stealth AI infrastructure company revolutionising the tech landscape.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: This is a unique chance to influence the foundation of ambitious AI projects.
- Why this job: Be a pioneer in shaping the future of AI with your expertise in network architecture.
- Qualifications: Experience in GPU clusters, InfiniBand, and multi-vendor networking is essential.
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 for GPU 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 at the forefront of building cutting-edge GPU compute infrastructure for frontier AI customers. We pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration, offering exceptional growth opportunities as you shape the future of AI networking. With competitive benefits and a commitment to employee development, this role provides a unique chance to make a significant impact in a rapidly evolving industry.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Network Architect for GPU and AI Infrastructure. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and GPU infrastructure space. Attend meetups, webinars, or industry events to meet potential employers and other professionals. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your past projects and achievements in network architecture. This is your chance to demonstrate your deep GPU cluster experience and multi-vendor expertise in a way that a CV just can't capture.
✨Tip Number 3
Prepare for those interviews! Research the company and its tech stack thoroughly. Be ready to discuss your hands-on experience with InfiniBand, RoCE v2, and Ethernet fabric. We want to see you shine when it comes to problem-solving scenarios related to network fabrics!
✨Tip Number 4
Apply through our website! We love seeing applications come directly from candidates who are genuinely interested in joining us. Make sure to tailor your application to highlight your relevant experience in AI infrastructure and GPU deployments. Let's get you on board!
We think you need these skills to ace Senior Network Architect for GPU 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 and Ethernet fabrics, and how you've tackled challenges in AI infrastructure before.
Showcase Your Problem-Solving Skills:In your application, highlight instances where you’ve resolved complex networking issues or optimised performance in GPU environments. We love seeing how you think on your feet and tackle real-world problems!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at StudySmarter!
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 the specific technologies mentioned in the job description, like InfiniBand and RoCE v2. Brush up on your experience with GPU clusters and be ready to discuss real-world scenarios where you've tackled network challenges.
✨Showcase Your Multi-Vendor Experience
Since the role requires multi-vendor expertise, prepare examples of how you've successfully integrated different hardware and software solutions. Highlight any projects where you’ve worked with brands like NVIDIA Mellanox or Cisco, as this will demonstrate your versatility.
✨Understand the Bigger Picture
This isn’t just about networking; it’s about supporting AI workloads. Be prepared to discuss how network architecture impacts performance and reliability in AI environments. Showing that you grasp the importance of a robust network fabric will set you apart.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about the company’s vision for their AI infrastructure or how they measure success in network performance. This shows your genuine interest and helps you assess if the company aligns with your career goals.
