Solutions Architect guiding NVIDIA partners in deploying large-scale Agentic AI and HPC solutions. Designing hybrid cloud and datacenter architectures across Canada.
Responsibilities
Guide partners in adopting end-to-end Agentic AI solutions using NVIDIA compute, networking, and software stacks
Design, build, and maintain large-scale HPC and AI hybrid computing solutions
Help partners deploy and operationalize AI solutions at scale
Use cloud-native methodologies, low-latency networks, and accelerated compute to build modern AI factories
Deliver demos and assist with proofs of concept
Write papers and developer blogs
Collaborate with executives and engineering teams to solve complex problems
Bring NVIDIA technologies to life in cloud and datacenter environments
Requirements
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
Experience with Docker Containers, Slurm, Kubernetes, and Ansible
Hands-on experience with network, storage, cluster configuration and debugging
Strong analytical and problem-solving skills
Ability to articulate technical knowledge to others
Ability to multitask efficiently in a dynamic environment
Strong channel sales knowledge and partner co-selling experience
Strong coding and debugging skills, including Python, C/C++, Bash, and Linux utilities
Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other high-performance cluster and hybrid cloud areas
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
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