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What you'll be doing:
Develop and drive Applied Research strategy for our medical products and SW development platforms across many teams
Define, develop and implement a data curation strategy to enable the next generation of medical and healthcare products together with our partners
Focus NVIDIA efforts on opportunities to improve leading technology in healthcare bringing together capabilities from across the company and in multiple domains
Drive research and development of new medical applications using machine learning, generative AI and computer vision
Enable our business and solution architect teams with generative AI capabilities that can be adapted to customer products
Deeply understand the current state of the art in generative AI as well as medical research, guide NVIDIAs strategic investment best intercept future research
What we need to see:
A Masters or PhD degree in Computer Science, Electrical Engineering, Mathematics, or a similar field or equivalent experience
Excellent interpersonal and 4+ years of leadership experience
10+ years of overall relevant industry experience
Industry leading mastery of machine learning, generative models, LLMs and computer vision techniques
Demonstrated track record of building applied medical research programs, applying research to products and innovating across domains
Ability to work in a fast-paced, innovative, and collaborative environment
Excellent problem-solving and analytical skills
Excellent team leadership, communication, presentation, and interpersonal skills
Experience with Python, C/C++, or other programming languages
You will also be eligible for equity and .
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