Nvidia Solutions Architect Healthcare 

China, Shanghai 

746492129

What you will be doing:

• You will 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 Ecosystem. You'll be called on to 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. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.

• 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.

• We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful.

What we need to see:

• MS or PhD in Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, Computational Biology, or closely related fields or equivalent work experience

• 5+ years of work-related experience in software development, machine learning or high-performance computing.

• Full-stack scientific computing experience including software development in scientific programming languages like C/C++, Python, and domain-specific libraries and tools like RDKit.

• Understanding of how to apply machine learning or deep learning to answer scientific questions.

• Work with parallel paradigms like OpenMP, MPI, or Dask/Multiprocessing

• Proficient in the Linux/GNU toolchain and operating as a user in HPC cluster environments. GPU programming experience using CUDA, Numba, accelerated libraries.

• Background in molecular modeling and life sciences. Experience with modern Deep Learning software architecture and frameworks.

• 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 cutting-edge of the domain

Ways to stand out from the crowd:

• Demonstrated work in molecular dynamics, docking, cheminformatics, bioinformatics, electronic structure methods, or projects related to drug discovery.

• Experience in the pharmaceutical industry or with customers/partners in the pharmaceutical domain.

• Proficiency managing large-scale HPC resources, e.g., Slurm, PBS, etc.

• CUDA programming and optimization experience. Significant deep learning experience with healthcare data.

• Published record of thought leadership in a technical area or industry segment.