Senior Solutions Architect, NPN

Want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect with experience in designing, building, and maintaining large scale HPC and AI hybrid computing solutions to join our team at NVIDIA.

Our day-to-day work involves guiding partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks.

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.

• 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.

• 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, Infini Band, Ethernet, or other areas related to high‑performance clusters and hybrid cloud solutions.
• Exhibit 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.

NVIDIA is committed to fostering a diverse 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.