GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
November 25
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
• Engage with AI researchers and engineers to understand their goals, strategies, and technical needs. • Facilitate AI use cases on the NVIDIA platform. • Collaborate with other solution architects, engineering and product teams to define high-value solutions. • Develop proof of concept projects with NVIDIA technologies. • Partner with Canadian customers and industry-specific partners to build solutions using NVIDIA technology.
• 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.
• Eligible for Intern benefits
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