- BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience).
- Established track record working with AI and HPC clusters, both on-premises and cloud based.
- 5+ years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible.
- Hands-on experience with network, storage, cluster configuration and debugging.
- Strong analytical and problem-solving skills, along with an ability to articulate what you know to others.
- Ability to multitask efficiently in a dynamic environment.
Ways to stand out from the crowd
- Strong channel sales knowledge and partner co-selling experience.
- Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities.
- Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions.
- Exhibit hands on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai and NVIDIA NIMs.
- Willingness and ability to learn quickly and solve advanced problems.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 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 November 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.