Solutions Architect, NPN

NVIDIA; Canada; On-site; CAD 135,000 - 220,000; Full time

Job summary

NVIDIA is seeking a Solution Architect to design, build, and maintain large-scale HPC and AI hybrid computing solutions for partners and customers. You will guide end-to-end adoption of Agentic AI solutions using NVIDIA’s compute, networking, and software stacks.

Join a team that collaborates with executives and engineering to deploy AI at scale, with hands-on demos, PoCs, and developer blogs. Expect a dynamic, fast-paced environment and significant customer impact.

Qualifications

• 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.
• 5+ 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.

Responsibilities

• Guide partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks.
• Deliver demos, assist with proofs-of-concept, or write papers and developer blogs.
• Collaborate with executives and engineering to deploy and operationalize AI solutions at scale.

Skills

Cluster management

Docker

Slurm

Kubernetes

Ansible

Networking

Storage

Troubleshooting

Analytical thinking

Multitasking

Education

BS/MS/PhD in Engineering/CS or related

Tools

Docker

Slurm

Kubernetes

Ansible

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. As Solution Architects on the NVIDIA Partner Network team, we are actively helping NVIDIA AI Factory solutions bring the benefits of large scale AI to customers through our partners. We work closely with customers and partners to address unsolved problems in the industry and help to deploy and operationalize AI solutions at scale.

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:

• 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.
• 5+ 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 channel sales knowledge and partner co-selling experience.
• 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 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!

Your base salary will be determined based on your location, experience, and other objective job-related factors.

The expected base salary ranges for this position are:

135,000 CAD - 185,000 CAD for Level 3; and 170,000 CAD - 220,000 CAD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.