Senior Solutions Architect - Deep Learning

Responsibilities

• Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on NVIDIA technology.
• Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications.
• Be an internal champion for Deep Learning and Data Science among the NVIDIA technical community.
• Develop demo solutions and showcase to the AI ecosystem.
• What We Need To See
• B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience
• 5+ years of experience in software development or extensive data analytics, CUDA experience highly desirable.
• Experience working with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, Triton
• Proven Exposure to GPU technology and CUDA programming
• Demonstrable experience in strategy, research, communications.

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