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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Skills Required
- Bachelor's, master's, or doctoral degree in Engineering, Computer Science, or a related field, or equivalent experience
- Established experience working with AI and HPC clusters in on-premises and cloud environments
- 5+ years of experience with cluster management and related tools
- Experience with Docker containers, Slurm, Kubernetes, and Ansible
- Hands-on experience with network, storage, cluster configuration, and debugging
- Strong analytical and problem-solving skills
- Ability to articulate technical knowledge and share expertise with others
- Ability to multitask efficiently in a dynamic environment
- Strong channel sales knowledge and partner co-selling experience
- Strong coding and debugging skills with Python, C/C++, Bash, and Linux utilities
- Projects or open-source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or high-performance clusters
- 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 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
-
Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
-
Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
.png){kind=logo}
