Nvidia Technical Marketing Engineer - Genomics Life Sciences 

United States, Texas 

815966471

What you will be doing:

• 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

What we need to see:

• 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

Ways to stand out from the crowd:

• Background with NVIDIA GPUs and SDKs, especially with NVIDIA Parabricks or RAPIDS platforms

• Experience with workflow languages such as Nextflow or WDL

• Experience adapting and deploying production omics workflows for specific applications such as next-gen sequencing or precision medicine

• Experience building and applying AI Agents to streamline scientific workflows

• Published record of thought leadership in a technical area or industry segment published on Github or other platforms