Solutions Architect – Deep Learning for Drug Discovery

Job Description:• partner with our business / account team working with customers to develop a keen understanding of their goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. • staying up on the state of the art in the production deep learning and machine learning methods. • help architect and scale high-performance, distributed, AI deployments that are built on the latest NVIDIA GPU supercomputers. • document what you know and teach others.• be an industry leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications, such as medical imaging or drug discovery. • strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform. • Some travel is required for this role. Requirements:• MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics with strong applied experience in these domains.• 5+ years of work-related experience in software development of deep learning or GPU acceleration methods for scientific applications. • 3+ years of work-related experience with deep learning software architecture and frameworks or high performance computing applications. • Proficient in the Linux/GNU toolchain and operating as a user in HPC cluster environments. • Full-stack scientific computing experience including software development in scientific programming languages, such as Python, C/C++, and/or CUDA.• Excellent communication skills particularly in the presentation of highly technical material. • Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the domain. Benefits:• equity• health insurance Apply tot his job