Senior Solutions Architect

NVIDIA is seeking outstanding Senior AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. Primary focus on HPC, Computational Science, Artificial Intelligence, and Deep Learning technical engagements with researchers and developers at our higher education and research universities and labs. You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on Generative AI. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA!What you will be doing:Partnering with engineering, product and business teams, understanding their strategies and technical needs and helping define high-value solutionsSupporting Higher Education and Research customers and driving research/influencing/new business in those customers and academic collaborations.Dynamically engaging with developers, scientific researchers, data scientists, which will give you experience across a range of technical areasStrategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platformWorking closely with customers to help them adopt and build solutions using NVIDIA technologyWhat we need to see:BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)5+ years of hands-on experience, primarily with Machine Learning and Deep Learning software architecture and frameworksExcellent programming skills in some rapid prototyping environments such as Python, C++ and parallel programming (e.g., CUDA) is a plus.Expertise with deep learning frameworks such as PyTorch.Strong problem-solving and debugging skillsExcellent knowledge of theory and practice of Generative AI and Large Language ModelsExcellent presentation, communication and collaboration skillsStrong written and oral communication skills in English.Ways to stand out from the crowd:Experience with NVIDIA GPUs and software libraries, working with engineering or research communityKnowledge working with the academia and governmentExperience with Deep Learning at scale and C/C++ programmingGood research track recordFamiliarity with parallel programming and distributed computing platformsNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you are creative and autonomous, we want to hear from you!NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.