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Nvidia Jobs in Ontario (NOW HIRING)

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 ...

As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real ...

HPC Engineer

Toronto, ON · On-site

$90 - $130/hr

If you are interested in managing large AI clusters equipped with Nvidia AI chips, this role could be a great fit for you. You will lead a team and be responsible for maintaining the environment and ...

Bonus: sensor fusion (LIDAR/IMU/GPS), motor control, NVIDIA Jetson platform. AI-Enabled Development * Proficient with AI coding assistants (Claude Code, Cursor, Copilot) for development, debugging ...

Speech expertise: 3+ years in Speech Synthesis (TTS) or applied speech ML, including hands-on work with frameworks like NVIDIA NeMo, ESPnet, or Coqui, and with major TTS APIs such as ElevenLabs, Rime ...

Site Reliability Engineer

Toronto, ON · On-site +1

CA$125K - CA$250K/yr

Experience with NVIDIA GPUs, CUDA, NCCL, and high-performance interconnects - Experience with InfiniBand, RDMA, RoCE, or 100Gb+ Ethernet * Familiarity with Kubernetes, SLURM, MAAS, Terraform, Ansible ...

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Nvidia information

What does Nvidia do as a company?

Nvidia is a technology company known primarily for designing graphics processing units (GPUs) used in gaming, professional visualization, data centers, and automotive markets. Their products power everything from high-end video games to artificial intelligence, machine learning, and self-driving cars. Nvidia also develops system-on-a-chip units for the mobile computing and automotive market, and has expanded into software platforms for AI and deep learning applications.

What can a new employee at Nvidia expect in terms of collaboration and teamwork across different departments?

At Nvidia, collaboration is a central part of the company culture. New employees often work on cross-functional teams that bring together engineers, designers, product managers, and marketing professionals to drive innovation. You can expect regular meetings, brainstorming sessions, and opportunities to learn from experts in various fields. This collaborative environment helps employees quickly build networks within the company and gain exposure to different aspects of Nvidia's business, fostering both professional growth and technical development.

What are the key skills and qualifications needed to thrive as an Nvidia software engineer, and why are they important?

To thrive as an Nvidia Software Engineer, you need strong programming skills (e.g., C++, Python), a solid foundation in computer science, and typically a degree in a related field. Familiarity with GPU programming, CUDA, parallel computing frameworks, and version control systems like Git is highly valued. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills in this role. These competencies enable engineers to innovate and deliver high-performance solutions that drive Nvidia's cutting-edge technology.

What cities in Ontario are hiring for Nvidia jobs?

Cities in Ontario with the most Nvidia job openings:

Infographic showing various Nvidia job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution.

Solutions Architect, Networking

Nvidia

Toronto, ON

Full-time

Re-posted 12 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies


Job description

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!

Widely considered to be one oftheworld's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your familywww.nvidiabenefits.com/.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 135,000 CAD - 185,000 CAD for Level 3, and 170,000 CAD - 220,000 CAD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.


What Nvidia employees say

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993