Canada AI Networking Solutions Architect

NVIDIA Corporation; Toronto; On-site; CAD 135,000 - 220,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits package

Travel opportunities up to 20%

Job summary

NVIDIA Corporation is seeking outstanding Networking Solutions Architects to help design and deploy large-scale AI Factories across Canada. You will be a trusted technical advisor, collaborating with customers to build end-to-end infrastructure and optimize AI training and inference pipelines using NVIDIA technology.

You will work with internal engineering, product, and business teams on performance analysis, with hands-on experience in NVIDIA networking and GPU platforms.

Qualifications

• BS, MS, or PhD in CS/EE/Physics/Math with 5+ years in solution/engineering or related field.
• Strong knowledge of high-performance networking (RDMA, congestion control) and distributed AI workloads.
• Hands-on experience bringing up large-scale NVIDIA GPU platforms including multi-GPU and multi-node architectures.

Responsibilities

• Serve as trusted technical advisor for Canadian customers deploying large-scale AI infrastructure.
• Collaborate with customers to design, deploy, and optimize GPU and networking systems.
• Analyze deployment and performance data, identify bottlenecks, and communicate risks and decisions at executive level.
• Travel up to 20% to customer sites.

Skills

Networking architectures

GPU clusters

Linux fundamentals

RDMA

Education

Bachelor's degree in CS/Engineering

Tools

CUDA

NCCL

NVSwitch/NVLink

Job description

NVIDIA Corporation is seeking outstanding Networking Solutions Architects to help design and deploy large-scale AI Factories across Canada. You will be a trusted technical advisor, collaborating with customers to build end-to-end infrastructure and optimize AI training and inference pipelines using NVIDIA technology.

You will work with internal engineering, product, and business teams on performance analysis, with hands-on experience in NVIDIA networking and GPU platforms.