Solutions Architect – Deep Learning for Drug Discovery

Job reputed company: • partner with our business / account team working with customers to reputed company a keen understanding of their goals, strategies, and technical needs as reputed company 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 reputed company. • help architect and reputed company high-performance, distributed, AI deployments that are reputed company on the latest reputed company GPU supercomputers. • document what you know and teach others. • be an industry leader with reputed company on integrating reputed company technology into AI and HPC architectures for advanced applications, such as medical imaging or drug discovery. • strategically partner with reputed company 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 reputed company, Computational Physics, Chemical Engineering, Biophysics with strong reputed company experience in these domains. • 5+ years of work-reputed company experience in software development of deep learning or GPU acceleration reputed company for scientific applications. • 3+ years of work-reputed company 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 reputed company-thinking people, life-long learning, and staying at the forefront of the domain. Benefits: • equity • health insurance Apply tot his job Apply To this Job