NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is seeking an experienced AI Infrastructure Solutions Architect (SA), bridging design to deployment of large-scale GPU infrastructure. As part of the NVIDIA SA organization, you will be interacting with customers, partners, and internal teams to analyse, define, and implement large-scale AI/HPC projects, as well as offering recommendations to business and engineering teams on our product roadmap.
What you'll be doing:
Working with NVIDIA Cloud Partners in Canada on large data center GPU server and networking system deployments. Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase.
Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
Work as the customer's trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions.
Partner with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA.
Analyze and debug compute/network configuration and performance issues to deliver performant clusters.
Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
5+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers.
Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling).
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes.
Efficient time management and capable of balancing multiple tasks. Excellent presentation, communication and collaboration skills.
Self-starter with a passion for growth, continuous learning, and sharing insights.
Ways to stand out from the crowd:
Familiarity with NVIDIA GPUs, NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager.
Experience with bringup and deployment of large GPU clusters, including deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance.
Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers.
Experience working with enterprise developers and strong customer-facing skills.
We make extensive use of conferencing tools, but occasional travel is required for on-site visit to customers and industry events. 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!
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 135,000 CAD - 185,000 CAD.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
- BS/MS/PhD in Engineering or equivalent experience
- 5+ years of Solution Engineering experience
- System level expertise of CPU/GPU server architecture
- Experience with networking switches and Data Center infrastructure
- Knowledge of DevOps/MLOps technologies
- Excellent presentation and communication skills
- Experience with C/C++, Linux kernel and drivers
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.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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.”
