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What you’ll be doing:
Engage with AI researchers and engineers to develop a keen understanding of their goals, strategies, and technical needs, and help to define and deliver high-value solutions that meet these needs.
Facilitate AI use cases on the NVIDIA platform.
Collaborating with other solution architects, engineering and product teams, understanding their technical needs and helping d efine high-value solutions.
Developing proof of concept projects with NVIDIA technologies that have recently become generally available.
Strategically partnering with Canadian customers and industry-specific solution partners to help them adopt and build solutions using NVIDIA technology
What we need to see:
Currently pursuing a MS or PhD in Computer Science, Engineering, or related field from an accredited university.
Experience with modern deep learning software architectures and frameworks including TensorFlow, PyTorch, JAX, or other deep learning 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 experience.
Strong analytical and problem-solving skills.
You will also be eligible for Intern
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