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