Solution Architect – AI Factory

NVIDIA; Badminton; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading technology firm in the UK is seeking an experienced professional to guide customers in adopting advanced AI solutions. The ideal candidate will have a strong background in Engineering or Computer Science and 4+ years of experience with cluster management tools such as Docker and Kubernetes. Strong analytical skills and the ability to solve complex problems are essential. Join our dynamic team to work with cutting-edge technologies and help deliver innovative AI solutions.

Qualifications

• 4+ years of proven experience with cluster management and related tools.
• Hands-on experience with datacenter configuration and debugging.
• Established track record in working with AI and HPC clusters.

Responsibilities

• Guide customers in adopting NVIDIA's technologies for AI solutions.
• Collaborate with teams to solve complex problems.
• Deliver demos and assist with proof-of-concepts.

Skills

Analytical skills

Problem-solving abilities

Multitasking

Education

MS or PhD in Engineering or Computer Science

Tools

Docker Containers

Slurm

Kubernetes

Ansible

Job description

What you’ll be doing

Our day-to-day work involves guiding customers in their adoption of NVIDIA's compute, networking, and software stacks to deliver end-to-end GenAI and Agentic AI solutions. Don't think this is a high-level slideshow job - we are the voice of experience, using cloud native methodologies, low latency networks, and accelerated compute to help build modern AI factories. We also excel at sharing knowledge with others, whether it's delivering demos, assisting with proof‑of‑concepts, or writing papers and developer blogs. By collaborating with executives and engineering, we solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter. Our mission is to solve the problems that nobody else has solved yet, and we need someone to be an instrumental part of that!

What we need to see

• MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience).
• Established track record working with AI and HPC clusters, both on‑premises and cloud based.
• 4 plus years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible.
• Hands‑on experience with Datacenter MEP, network, storage, cluster configuration and debugging.
• Strong analytical and problem‑solving skills, along with an ability to articulate what you know to others.
• Ability to multitask efficiently in a dynamic environment.

Ways to stand out from the crowd

• Strong coding and debugging skills, including experience with CUDA, Python, C/C++, Bash, AI frameworks and Linux utilities.
• Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high‑performance clusters and hybrid cloud solutions.
• Exhibit hands on experience with NVIDIA Enterprise software products, Base Command Manager, Run:ai and NVIDIA NIMs.
• Willingness and ability to learn quickly and solve advanced problems.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!