Solutions Architect, Healthcare

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Job updated 10 months ago

Job Description

We are looking for a Solutions Architect to work with healthcare customers in ROAP focused on healthcare vertical adopt AI. At NVIDIA, our Solution Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware 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 are broadly used across leading academic medical centers, pharmaceutical companies, device manufacturers and start-ups. Our success has been based on focused industry vertical business development, building a strong developer ecosystem, and scaling out the business using a partner channel and creative marketing.

We need a passionate, hard-working, and creative individual to help us pursue more of these opportunities in fields such as healthcare and life science. This Solutions Architect role requires becoming a trusted technical advisor and leader to our customers who believe that accelerated computing and artificial intelligence is a new computing revolution and has the potential to transform the entire healthcare domain. A Solutions Architect is the first line of technical expertise between NVIDIA and our partners and customers. Your duties will vary from inventing proof-of-concept demonstrations, to driving relationships with key executives and managers to promote accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

What you’ll be doing:
Partner with our business / account team working with customers to develop a keen understanding of their goals, strategies, and technical needs as well as to help define and deliver high-value solutions meeting these needs.

Work with customers to design NVIDIA GPUs into their next generation healthcare process.

Stay up on the state of the art in healthcare and life science to apply the latest advancements in the field to customer needs.

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.

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.

Requirements

What we need to see:
Partner with our business / account team working with customers to develop a keen understanding of their goals, strategies, and technical needs as well as to help define and deliver high-value solutions meeting these needs.

BS/MS/PhD (MS or PhD preferred) in Medical, Computational Biology, Bioinformatics, Statistics, Physics, Computer Science, Mathematics or closely related fields (or equivalent experience).

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

Scientific computing experience including software development in scientific programming languages like C/C++, Python, and/or CUDA.

Expertise in healthcare or life science and the processing of healthcare data.

Understanding of how to apply deep learning or machine learning into the healthcare process.

Experience with modern Deep Learning software architecture and frameworks.

Excellent communication skills particularly in the presentation of highly technical material.

Strong written and oral communications skills in English.

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 experience optimization workloads with GPU technology.

Significant deep learning experience with healthcare data.

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 brilliant and talented people in the world working for us. If you are creative and autonomous, we want to hear from you!

NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About us

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics and ignited the era of modern AI. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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