Solutions Architect, Networking

🔥 2 hours ago

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Become the trusted technical advisor for NVIDIA Cloud Partners in Canada to bring NVIDIA Data Center GPU and networking platforms to market at scale • Collaborate directly with customers to build, deploy, and optimize large-scale AI training and inference infrastructure using NVIDIA technology • Analyze deployment and performance data, identifying product health trends, system bottlenecks, and operational risks • Solve technical problems involving GPUs, networking, drivers, containers, firmware, and distributed system interactions • Deliver executive-level communication on status, risks, progress, and required decisions • Collaborate with internal engineering, product, and business teams on performance analysis and modeling of large GPU clusters • Travel to customer sites and industry events occasionally, up to 20%

🎯 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, or Solution Engineering experience • Understanding of high-performance networking technologies, including RDMA, congestion control, and high-bandwidth interconnects • Hands-on experience bringing up and validating large-scale NVIDIA GPU platforms, including multi-GPU and multi-node architectures • Familiarity with NVIDIA system software stacks, including 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 • Prior experience deploying or optimizing deep learning training and inference at scale in production environments is advantageous • Familiarity with NVIDIA hardware and systems technology such as GPUs, networking, storage, NCCL, DCGM, UFM, Mission Control, and Base Command Manager is advantageous • Demonstrated leadership resolving multi-team infrastructure challenges is advantageous • Record of taking GPU or infrastructure products from pilot to high-volume deployment is advantageous • Ability to travel to customer sites and industry events occasionally, up to 20%

🏖️ Benefits

• Highly competitive salaries • Comprehensive benefits package • Equity • Benefits for employees and families • Remote work arrangement • Occasional travel to customer sites and industry events