Solutions Architect, AI Infrastructure

NVIDIA • Toronto, ON

13h • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• highly competitive salaries
• comprehensive benefits package
• equity

What This Job Offers

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