Key technologies and capabilities for this role
Common questions about this position
The role requires 8+ years of meaningful work experience in software development, technical evangelism, technical marketing, or similar, plus 3+ years of experience or deep domain expertise in life sciences, omics, and accelerated computing.
A Bachelor’s degree in Computer Science, Computer Engineering, Life Sciences, or Bioinformatics, or equivalent experience is required.
You will develop demos, workshops, Jupyter notebooks, and tutorials for genomics workflows, partner with product and engineering teams for benchmarking, evangelize NVIDIA platforms like Parabricks, document knowledge through blogs and whitepapers, and engage with the community for feedback.
A background with NVIDIA GPUs will help you stand out from the crowd.
This information is not specified in the job description.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.