Solutions Architect, Networking

NVIDIA • Toronto, ON

13h • Hybrid

About The Position

NVIDIA is seeking outstanding Networking Solutions Architects (SA) to help design and deploy large-scale AI Factories across Canada. In this role, you will collaborate with customers to build end-to-end infrastructure. You will become a trusted technical advisor working on exciting projects, focused on how high-performance networking enables generative AI, large language models, and production AI inference pipelines. You will also collaborate with a diverse set of internal engineering, product, and business teams on performance analysis and modeling of these large GPU clusters. You should be comfortable working in a dynamic environment and have hands-on experience with NVIDIA networking and GPU technologies. This is an excellent opportunity to be at the center of Canada's rapidly growing AI infrastructure landscape.

Requirements

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
• 5+ years of Solution Architecture (or similar Sales Engineering, Systems Engineering, Cloud Engineering, Solution Engineering).
• Understanding of high‑performance networking technologies (e.g., RDMA, congestion control, high‑bandwidth interconnects), and their role in distributed AI workloads.
• Hands‑on experience with bring‑up and validation of large‑scale NVIDIA GPU platforms, including multi‑GPU and multi‑node architectures.
• Familiarity with NVIDIA system software stacks: CUDA, NCCL, NVSwitch/NVLink, driver behavior, and performance tuning.
• Ability to identify performance bottlenecks at the cluster, node, accelerator, network, or application layer.
• Strong Linux fundamentals across drivers, kernel subsystems, cgroups, containers, and node‑level performance analysis.
• Excellent presentation, communication, and collaboration skills.

Nice To Haves

• Prior experience deploying or optimizing deep learning training and inference at scale in production environments on large GPU clusters.
• Familiarity with NVIDIA hardware (such as GPUs, networking, storage) and systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager.
• Demonstrated leadership resolving multi‑team infrastructure challenges across engineering, product, and customer groups.
• A consistent record of taking GPU or infrastructure products from pilot to high‑volume deployment in large data center environments.

Responsibilities

• Becoming the trusted technical advisor for NVIDIA Cloud Partners in Canada to rapidly bring NVIDIA Data Center GPU and networking platforms to market at scale.
• Collaborating directly with customers to build, deploy, and optimize large-scale AI training and inference infrastructure using NVIDIA technology.
• Analyzing deployment and performance data, identifying product health trends, system bottlenecks, and operational risks.
• Solve challenging technical problems involving GPUs, networking, drivers, containers, firmware, and distributed system interactions.
• Deliver streamlined executive‑level communication on status, risks, progress, and required decisions.

Benefits

• highly competitive salaries
• comprehensive benefits package
• equity

What This Job Offers

• Job Type: Full-time
• Career Level: Senior