Technical Marketing Engineer - Genomics and Life Sciences
We are looking for a Technical Marketing Engineer passionate about Genomics and Life Sciences to craft the fundamental technical content demonstrating NVIDIA's accelerated computing platform. The role will focus on enabling genomics and bioinformatics researchers, developers, and DevOps engineers through video tutorials, technical blog posts, user guides, walk-throughs, and more. This material is essential for enabling researchers and developers to adopt and scale NVIDIA technology across ISVs, platforms, and instruments. Our Technical Marketing Engineers are drawn from outstanding developers and scientists who enjoy working with the latest in GPU hardware and NVIDIA acceleration software!
This role will collaborate closely with our dedicated digital biology and genomics researchers, engineers, and product teams to help develop and demonstrate the latest NVIDIA advancements in WGS, RNA, and single-cell workflows. Our success has been based on laser-focused industry vertical business development, building a strong developer ecosystem and scaling out the business using partner channels and creative marketing.
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
Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family at www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD.You will also be eligible for equity and benefits.
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA'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.
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