Nvidia Senior Solutions Architect Healthcare Life Sciences 

United States, Texas 

368948038

Large language models are helping understand the language of biology and chemistry and fundamentally changing how drugs are discovered and developed. To advance these efforts we are looking for a Senior Solutions Architect to work with life sciences customers in North America focused on accelerated drug discovery. At NVIDIA, our Solution Architects are drawn from elite developers and scientists who enjoy working with the latest inhardware and software. NVIDIA’s platform for machine learning, deep learning and high-performance computing have already made a major impact on the healthcare domain and areacross leading pharmaceutical companies, device manufacturers, academic medical centers, and start-ups.

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, torelationships 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 willbe called on to helparchitectand scale high-performance, distributed,AIdeployments 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.

• Strategicallypartner with lighthouse customers and industry-specific solution partners targeting our computing platform.

• We make heavy use of conferencing tools, but some travel isrequiredfor 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 andoperatingas 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 thecutting-edgeof 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, orOpenACC.

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

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

NVIDIA is widely considered to be one of the technology world’s most desirable employers.We have some of the most forward-thinking and hardworking people in the world working for us. Ifyou are