Nvidia Senior Solutions Architect - AI 

Canada, Quebec, Granby 

327386788

What you’ll be doing:

• You will be part of Canadian Solutions Architect team engaging with AI developers and engineers to develop a keen understanding of their goals, strategies, and technical needs, and drive NVIDIA technology adoption in data center, edge, and cloud deployments.

• Facilitate AI use cases and proof-of-concepts on the NVIDIA platform.

• Collaborating with other solution architects, engineering and product teams, understanding their technical needs and helping define high-value solutions.

• Strategically supporting and partnering with Canadian customers and industry-specific solution partners to help them adopt and build solutions using NVIDIA technology.

What we need to see:

• MS or PhD in Computer Science, Engineering, or related field from an accredited university.

• 5+ years of experience.

• Experience with modern AI software tools including PyTorch, JAX, TRT-LLM, vLLM, SGLang, or other frameworks.

• Programming experience with data science languages like Python, and/or HPC languages such as C/C++/Fortran.

• Experience with GPUs and accelerated computing.

Ways to stand out from the crowd:

• Excellent knowledge of theory and practice of deep learning, reinforcement learning, and/or large language models.

• CUDA/GPU optimization or CUDA-X library experience.

• Knowledge of MLOps technologies such as Docker/containers, Kubernetes, as well as cloud and data center deployments.

• Experience deploying large-scale GPU clusters.

• Experience deploying AI inference at scale on-premise or in the cloud.

Applications for this job will be accepted at least until July 29, 2025.