Senior Solutions Architect, NPN

About the role

We are looking for a Solution Architect with experience in designing, building, and maintaining large scale HPC and AI hybrid computing solutions to join our team at NVIDIA.

Responsibilities

• Guiding partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks.
• Using cloud native methodologies, low latency networks, and accelerated compute to help build modern AI factories.
• Delivering demos, assisting with proof-of-concepts, and writing papers and developer blogs.
• Solving complex problems collaboratively with executives and engineering teams.

Requirements

• Strong foundational expertise and a BS, 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.
• 12 plus years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible.
• Hands-on experience with 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.

Qualifications

• Strong coding and debugging skills, including experience with Python, C/C++, Bash, 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.
• Hands-on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai and NVIDIA NIMs.
• Willingness and ability to learn quickly and solve advanced problems.

Skills

• Experience with cloud native methodologies.
• Knowledge of low latency networks and accelerated compute.
• Proficiency with Docker Containers, Slurm, Kubernetes, and Ansible.
• Understanding of network, storage, and cluster configuration and debugging.
• Strong analytical and problem-solving skills.
• Ability to multitask efficiently in a dynamic environment.
• Experience with GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions.
• Experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai and NVIDIA NIMs.
• Ability to learn quickly and solve advanced problems.

Benefits

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!

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

Schedule

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.