Nvidia Senior Solution Architect Healthcare Life Sciences 

United States, Texas 

201160162

We need a passionate, hard-working, and creative individual to help us pursue more of these opportunities in the revolution that is happening in AI-powered drug discovery. This role requires becoming a trusted technical advisor and leader to our customers in pharma and biotech who believe that accelerated computing and artificial intelligence is a new computing revolution and has the potential to transform the entire healthcare domain. Your duties will vary from inventing proof-of-concept demonstrations, to driving relationships with key executives and managers to promote accelerated computing.

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 and help 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 will be called on to help architect and scale high-performance, distributed, AI deployments that are built on the latest NVIDIA GPU supercomputers.

• Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience across a range of technical areas.

• 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 (or equivalent experience) in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or Computer Science with strong applied experience in these domains.

• 5+ years of work-related experience in software development of deep learning methods for scientific applications.

• Proven experience with Deep Learning software architecture and frameworks and application to scientific questions.

• Full-stack scientific computing experience including software development in scientific programming languages, such as C/C++, Python, and/or CUDA.

• Proficient in the Linux/GNU toolchain and operating as a user in HPC cluster environments.

• Background in molecular modeling and life sciences.

• 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 inDeep-learning-at-scale,cheminformatics, bioinformatics, drug discovery. Experience with molecular dynamics, docking, electronic structure methods, or major projects related to drug discovery are a plus

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

• Background with accelerating scientific algorithms using parallel programming, e.g., using CUDA, OpenCL, or OpenACC.

• Experience with distributed programming models for supercomputing applications, e.g., MPI.

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