Develop demos, workshops, Jupyter notebooks, and tutorials to help developers build and accelerate their workflows in genomics and bioinformatics
Partner with our product, product marketing, engineering and development teams working on groundbreaking technologies to drive our internal benchmarking and validation of our GPU accelerated genomics workflows
Be the evangelist and champion to customers and the developer community for NVIDIA's platforms including Parabricks and RAPIDS-singlecell
Document what you know and guide others. This can vary from building targeted training for partners, Solutions Architects and other internal collaborators, to writing whitepapers, blogs, and simply working through hard problems with a customer on a whiteboard
Engage with the external community to provide usability feedback to our internal teams to improve product capabilities
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, or Life Sciences, Computer Science, Computer Engineering, or Bioinformatics or equivalent experience
8+ years of meaningful work experience in software development, technical evangelism, technical marketing, or similar
3+ years of experience or deep domain expertise in life sciences, omics, and accelerated computing
Hands-on software development experience deploying and scaling containerized workflows on the cloud and on prem
Strength presenting to technical audiences and generating content for developers
A keen sense for product vision and an ability to translate product value propositions to compelling demonstrations
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into sophisticated solutions
Benefits
Competitive salaries
Comprehensive benefits package
Equity options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
software developmenttechnical evangelismtechnical marketingcontainerized workflowscloud computingGPU accelerated computinggenomicsbioinformaticsJupyter notebooksworkshop development