Solutions Architect – AI Factory

NVIDIA is seeking a Solutions Architect for their AI Factory team to design, build, and maintain large scale AI factories. The role involves working closely with enterprise customers to deploy and operationalize AI solutions at scale, leveraging NVIDIA's compute, networking, and software stacks.

• MS or PhD in Engineering, Computer Science, or related field (or equivalent experience).
• 8+ years of experience with AI and HPC clusters, both on-premises and cloud-based.
• Proven experience with cluster management 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 with ability to communicate knowledge effectively.
• Ability to multitask efficiently in a dynamic environment.

Nice to have:

• Strong coding and debugging skills including CUDA, Python, C/C++, Bash, AI frameworks, and Linux utilities.
• Experience with GPU workloads, Kubernetes, InfiniBand, Ethernet, high-performance clusters, and hybrid cloud solutions.
• Hands-on experience with NVIDIA Enterprise software products such as Base Command Manager, Run:ai, and NVIDIA NIMs.
• Willingness and ability to learn quickly and solve advanced problems.

• Guide customers in adopting NVIDIA's compute, networking, and software stacks to deliver GenAI and Agentic AI solutions.
• Use cloud native methodologies, low latency networks, and accelerated compute to build AI factories.
• Deliver demos, assist with proof-of-concepts, and write papers and developer blogs.
• Collaborate with executives and engineering teams to solve complex problems and implement NVIDIA technologies in cloud and datacenter environments.