Solution Architect – AI Factory

NVIDIA; United Kingdom; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading technology company in the United Kingdom is seeking an experienced individual to guide customers in adopting cutting-edge AI solutions using NVIDIA's technologies. This role requires strong expertise in AI and HPC clusters, with a focus on hands-on cluster management and problem-solving. The ideal candidate will possess a master's or PhD in a relevant field and have substantial experience with cloud and datacenter configurations. The company is recognized for its innovative environment and seeks creative individuals who thrive in dynamic settings.

Qualifications

• 4+ years of experience with AI and HPC clusters.
• Hands-on experience in datacenter configuration and debugging.
• Experience with coding in CUDA, Python, C/C++, Bash.

Responsibilities

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

Skills

Cluster management

Problem-solving

Multitasking

Communication

Education

MS or PhD in Engineering, Computer Science, or related field

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!