Solutions Architect, Networking

<p>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. </p> <p><b>What You Will Be Doing:</b> </p> <ul> <li> <p>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. </p> </li> <li> <p>Collaborating directly with customers to build, deploy, and optimize large-scale AI training and inference infrastructure using NVIDIA technology. </p> </li> <li> <p>Analyzing deployment and performance data, identifying product health trends, system bottlenecks, and operational risks. </p> </li> <li> <p>Solve challenging technical problems involving GPUs, networking, drivers, containers, firmware, and distributed system interactions. </p> </li> <li> <p>Deliver streamlined executive‑level communication on status, risks, progress, and required decisions. </p> </li> <li> <p>Some travel to customer sites is required, up to 20%.</p> </li> </ul> <p><b>What We Need To See:</b> </p> <ul> <li> <p>BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) </p> </li> <li> <p>5+ years of Solution Architecture (or similar Sales Engineering, Systems Engineering, Cloud Engineering, Solution Engineering). </p> </li> <li> <p>Understanding of high‑performance networking technologies (e.g., RDMA, congestion control, high‑bandwidth interconnects), and their role in distributed AI workloads. </p> </li> <li> <p>Hands‑on experience with bring‑up and validation of large‑scale NVIDIA GPU platforms, including multi‑GPU and multi‑node architectures. </p> </li> <li> <p>Familiarity with NVIDIA system software stacks: CUDA, NCCL, NVSwitch/NVLink, driver behavior, and performance tuning. </p> </li> <li> <p>Ability to identify performance bottlenecks at the cluster, node, accelerator, network, or application layer. </p> </li> <li> <p>Strong Linux fundamentals across drivers, kernel subsystems, cgroups, containers, and node‑level performance analysis. </p> </li> <li> <p>Excellent presentation, communication, and collaboration skills. </p> </li> </ul> <p><b>Ways To Stand Out From The Crowd:</b> </p> <ul> <li> <p>Prior experience deploying or optimizing deep learning training and inference at scale in production environments on large GPU clusters. </p> </li> <li> <p>Familiarity with NVIDIA hardware (such as GPUs, networking, storage) and systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager. </p> </li> <li> <p>Demonstrated leadership resolving multi‑team infrastructure challenges across engineering, product, and customer groups. </p> </li> <li> <p>A consistent record of taking GPU or infrastructure products from pilot to high‑volume deployment in large data center environments. </p> </li> </ul> <p>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! </p> <p>Widely considered to be one of the 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 <a href="https://www.nvidiabenefits.com/" rel="nofollow ugc noopener" target="_blank"><u>www.nvidiabenefits.com/.</u></a> </p> <p>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 for Level 3, and 170,000 CAD - 220,000 CAD for Level 4.</p> <p>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" rel="nofollow ugc noopener" target="_blank">benefits</a>.</p> <p>Applications for this job will be accepted at least until May 15, 2026.</p> <p>This posting is for an existing vacancy. </p> <p>NVIDIA uses AI tools in its recruiting processes.</p>