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Karkidi

Deep Learning Solution Architect - FSI Retail SmartSpace

Karkidi, Santa Clara, California, us, 95053


NVIDIA is a leading company in AI computing. At NVIDIA, our employees are passionate about AI, HPC, visual computing, and gaming. Our Solution Architecture (SA) team focuses on bringing NVIDIA's new technology into different industries. We help design the architecture of AI computing platforms and analyze AI and HPC applications to deliver value to our customers. You will work closely with industry sales, developer relationship managers, and product teams in this position. What You’ll Be Doing: Assist in supporting industry accounts and driving research, influencing, and new business in those accounts. Assist researchers and engineers on their GPU applications. Deliver technical projects, demos, and client support tasks as directed by the Solution Architecture leadership team. Provide technical support for GPU system deployments. Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing, and other key applications. Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community. What We Need To See: 3+ years of experience with research, development, or application of Machine Learning, data analytics, or computer vision workflows. Outstanding verbal and written communication skills. Ability to work independently with minimal day-to-day direction. C/C++/Python programming experience. Desire to be involved in multiple diverse and innovative projects. Experience using scale-out cloud and/or HPC architectures for parallel programming. MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology, or equivalent experience. Ways To Stand Out From The Crowd: AIGC/LLM/NLP experience. CUDA optimization experience. Experience with Deep Learning frameworks and tools. Extensive experience designing and deploying large scale HPC and enterprise computing systems.

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