Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and operate large-scale HPC clusters and GPU-based environments.
- Company: Join a fast-growing tech company focused on AI infrastructure.
- Benefits: Competitive salary, equity, flexible remote work, and tailored progression plans.
- Why this job: Make a real impact in cutting-edge AI technology and innovation.
- Qualifications: Experience with HPC clusters, networking, and strong scripting skills.
- Other info: Collaborative culture with opportunities for travel and personal growth.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Are you passionate about Data Centre builds and large-scale GPU infrastructure projects? Do you thrive in a fast-paced, high-growth environment where your work has a direct impact on business outcomes? If so, this could be the role for you!
Our company provides a GPU cloud engineered for AI. We deliver cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. We enable AI-focused companies to achieve superior results by reducing the complexity of AI development. Our infrastructure bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
Our Engineering team plays a critical role in driving the delivery of our GPU infrastructure. If you're passionate about data centre architecture and thrive in high-performance computing environments, then please apply.
About The Role
Network engineers on our team are responsible for the design, deployment, and ongoing operation of all networking services that underpin both the internal management platform and the customer-facing cloud infrastructure. This includes internet transit, WAN connectivity, and DC networking. You will act as a 3/4th line escalation point for the support organisation.
What You’ll Be Doing
- Designing, deploying, and operating large-scale HPC clusters and GPU-based compute environments
- Creating and maintaining hardware architectures, including BOMs, rack elevations, and reference designs
- Implementing and maintaining HPC scheduling and workload management systems (e.g., Slurm)
- Designing and optimising InfiniBand and Ethernet network topologies (Fat Tree, Dragonfly, rail-optimized configurations)
- Working with deployment teams to ensure cluster builds align with architectural specifications
- Automating provisioning, configuration, and operations of multi-vendor HPC hardware and software stacks
- Troubleshooting and tuning cluster performance across compute, storage, and interconnect layers
- Collaborating with software, infrastructure, and data center teams to ensure seamless integration of HPC environments
About You
- Proven experience designing, deploying, and operating HPC or large-scale compute clusters
- Strong knowledge of Slurm or similar workload management systems (e.g., PBS, LSF)
- Proven experience in InfiniBand networking design and operations, including subnet management, QoS, RDMA, and performance tuning
- Experience with high-speed Ethernet networks and associated protocols (e.g., VLAN, LACP, BGP, OSPF, EVPN, VXLAN)
- Familiarity with HPC network topologies such as Fat Tree or Dragonfly
- Experience creating hardware BOMs, rack layouts, and reference architectures for compute deployments
- Strong scripting skills in Python and/or Bash for automation and orchestration
- Solid understanding of optics, cabling, and physical layer design considerations for HPC and GPU cluster environments
- Strong analytical, troubleshooting, and documentation skills
- A collaborative mindset and passion for building high-performance, scalable infrastructure
Personal Attributes
- Proactive and self-motivated, with a strong sense of ownership
- Thrives in a fast-paced, dynamic, and high-growth environment
- Collaborative team player with a passion for delivering outstanding stakeholder experiences
- Strong attention to detail and documentation skills
- Excellent communication skills, both written and verbal
- A self-starter mindset with a “see a problem, fix a problem” mentality
Please Note: This role will require 20-30% travel to our European sites.
What We Can Offer You
- You’ll find a collaborative, supportive, and innovative environment where your contributions spark real impact.
- Highly competitive package (base + equity) with reviews every 12 months
- Join a fast-growing tech company, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI
- Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support
- Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts our team to deliver, giving you the autonomy to shape your day around life’s moments
- Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.
Network Engineer in London employer: asobbi
Contact Detail:
asobbi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Network Engineer in London
✨Tip Number 1
Network, network, network! Reach out to professionals in the industry through LinkedIn or relevant forums. Join groups related to HPC and GPU infrastructure to connect with like-minded folks who can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving HPC clusters or InfiniBand networking. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to network design and deployment. Practice explaining your past experiences clearly and confidently, focusing on how they relate to the role you're applying for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Network Engineer in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data centre builds and GPU infrastructure shine through. We want to see how your passion aligns with our mission of delivering high-performance AI solutions.
Tailor Your Experience: Make sure to highlight your relevant experience in designing and operating HPC clusters. We love seeing specific examples that demonstrate your skills in InfiniBand networking and workload management systems like Slurm.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Remember, we’re looking for strong communication skills!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our innovative team.
How to prepare for a job interview at asobbi
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of HPC clusters, GPU infrastructure, and networking protocols like InfiniBand and Ethernet. Be ready to discuss your past experiences in designing and deploying these systems, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex issues in previous roles. Think about times when you had to troubleshoot performance problems or optimise network topologies. This will demonstrate your analytical skills and proactive mindset.
✨Familiarise Yourself with the Company Culture
Research the company's values and culture, especially their focus on innovation and collaboration. Be ready to explain how your personal attributes align with their mission and how you can contribute to building high-performance, scalable infrastructure.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, or future technology initiatives. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.