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.

What You Will Be Doing:

• 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, andoptimizelarge-scale AI training and inference infrastructure using NVIDIA technology.

• Analyzing deployment and performance data,identifyingproduct health trends, system bottlenecks, and operational risks.

• Solve challenging technical problems involving GPUs, networking, drivers, containers, firmware, and distributed system interactions.

• Deliver streamlined executivelevel communication on status, risks, progress, and required decisions.

• Some travel to customer sites isrequired, up to 20%.

What We NeedToSee:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, otherEngineeringor related fields (or equivalent experience)

• 5+ years of Solution Architecture (or similar Sales Engineering, Systems Engineering, Cloud Engineering, Solution Engineering).

• Understanding ofhighperformance networking technologies (e.g., RDMA, congestion control, highbandwidth interconnects), and their role in distributed AI workloads.

• Handson experience with bringup and validation of largescale NVIDIA GPU platforms, including multiGPU and multinode architectures.

• Familiarity with NVIDIA system software stacks: CUDA, NCCL,NVSwitch/NVLink, driver behavior, and performance tuning.

• Ability toidentifyperformance bottlenecks at the cluster, node, accelerator, network, or application layer.

• Strong Linux fundamentals across drivers, kernel subsystems,cgroups, containers, and nodelevel performance analysis.

• Excellent presentation, communication, and collaboration skills.

Ways To Stand OutFromTheCrowd:

• Prior experience deploying oroptimizingdeep 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 multiteam infrastructure challenges across engineering, product, and customer groups.

• A consistent record of taking GPU or infrastructure products from pilot to highvolume deployment in large data center environments.

We make extensive use of conferencing tools, but occasional travel isrequiredfor on-sitevisitto customers and industry events. We have some of the most forward-thinking and hardworking people in the world working for us. Ifyou'recreative and autonomous, we want to hear from you!