Solutions Architect, Healthcare
Job Description
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.
Responsibilities
- 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.
Job Requirements
- 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.
