Santa Clara, California,
United States

Job Type
Full Time
Apply Deadline

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Are you a computational scientist or engineer passionate about working on the frontiers of artificial intelligence and high performance computing (HPC)? NVIDIA is searching for a Solutions Architect to support developers and scientists working on critical problems that demand HPC and AI. Solutions Architects are the primary technical contacts for our customers and engage deeply with scientific researchers and application developers. We need individuals who can develop positive relationships with customers, learn their requirements and work to bring solutions that enable their success. Your primary responsibilities will be to lead deep learning and HPC technical customer engagements with a focus on developers and computational scientists at universities and research institutions. You should be comfortable working in a dynamic environment. Your ability to work independently is important, and you will rely upon your excellent interpersonal skills during consulting engagements. We expect you to work closely with the entire customer team, including sales, program management and business development. Some travel to conferences and customers will be required. What youll be doing: - Engage with customers to develop a keen understanding of their goals, strategies, and technical needs and help to define and deliver high-value solutions that meet these needs. - Assist field business development in guiding the customer through the sales process for GPU Computing products, being responsible for the technical relationship and assisting customers in building creative solutions based on NVIDIA technology. - Provide customer requirements to engineering to foster product and platform improvements. - Be an industry leader with vision on integrating NVIDIA technology into HPC architectures. - Be an internal champion for Deep Learning and HPC among the NVIDIA technical community. What we need to see: - MS or PhD in Engineering, Mathematics, Physical Sciences, or Computer Science. - 5+ years of work related experience in software development or Machine Learning or HPC. - Programming experience with HPC languages such as C/C++/Fortran, and data science languages like Python. - Parallel programming experience with OpenMP/MPI. - Experience with GPU Computing and CUDA/OpenACC programming. - Experience working with supercomputing and technical computing customers. - Experience with modern Deep Learning software architectures and frameworks including Tensorflow, PyTorch or other Deep Learning Frameworks - Strong analytical and problem-solving skills. - Self-motivated and independent with the ability to multi-task effectively with minimal day-to-day direction. - Strong written and oral communications skills leading to effective collaboration with management and engineering. Ways to stand out from the crowd: - Experience coupling HPC & AI to solve scientific problems. - CUDA optimization experience. - Computational Chemistry and/or materials science background. - Experience using and managing large-scale HPC resources, e.g., Slurm, PBS, etc. - Cloud development/deployment experience e.g., Docker and Kubernetes. - Experience in data science methods and analysis. NVIDIA is widely considered to be one of the technology worlds most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering 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. #deeplearning

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