Senior Solutions Architect, NPN

NVIDIA Gruppe; Virginia (MN); On-site; USD 130,000 - 160,000; Full time

Job summary

NVIDIA Gruppe is seeking a Solution Architect to join our dynamic team and contribute to revolutionizing AI with large-scale hybrid computing solutions. The ideal candidate will guide partners in adopting cutting-edge AI technologies, using NVIDIA's advanced toolsets.

Applicants should hold a relevant degree and possess over 12 years of experience with AI and HPC clusters, both on-premises and in the cloud. Strong analytical skills and the ability to multitask in a fast-paced environment are essential.

Qualifications

• 12+ years of proven experience with cluster management and related tools.
• Strong analytical and problem-solving skills.
• Ability to multitask efficiently in a dynamic environment.

Responsibilities

• Guide partners in adopting end-to-end Agentic AI solutions.
• Assist with proof-of-concepts and write developer blogs.
• Collaborate with engineering to solve complex problems.

Skills

Cluster management tools

Docker Containers

Kubernetes

Ansible

Python

C/C++

Bash

Education

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

Tools

Slurm

NVIDIA AI Enterprise

Base Command Manager

Run:ai

NVIDIA NIMs

Job description

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.

What you'll be doing:

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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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.
• 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.