# Solutions Architect, Networking

**Company**: NVIDIA
**Location**: Canada
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $100,000 - $150,000 per year
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Solutions-Architect--Networking_JR2017665?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_177fcbac-c62

## Description

NVIDIA is seeking a Solutions Architect, Networking 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.

**Key Responsibilities:**

- Become the trusted technical advisor for NVIDIA Cloud Partners in Canada to rapidly 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, identify product health trends, system bottlenecks, and operational risks.

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

- Deliver streamlined executive-level communication on status, risks, progress, and required decisions.

**Requirements:**

- Bachelor's degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related field (or equivalent experience)

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

- Understanding of high-performance networking technologies (e.g., RDMA, congestion control, high-bandwidth interconnects), and their role in distributed AI workloads.

- Hands-on experience with bring-up and validation of large-scale NVIDIA GPU platforms, including multi-GPU and multi-node architectures.

- Familiarity with NVIDIA system software stacks: 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.

**Nice to Have:**

- Prior experience deploying or optimizing deep 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 multi-team infrastructure challenges across engineering, product, and customer groups.

- A consistent record of taking GPU or infrastructure products from pilot to high-volume deployment in large data center environments.

## Skills

### Required
- Solution Architecture
- Networking
- GPU
- High-Performance Computing
- Linux
- CUDA
- NCCL
- NVSwitch/NVLink
- Driver Behavior
- Performance Tuning

### Nice to have
- Deep Learning
- AI Inference
- Cloud Computing
- Containerization
- Firmware
- Distributed System Interactions

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Remote/Solutions-Architect--Networking_JR2017665?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)