Technical Marketing Engineer - Genomics and Life Sciences at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Genomics, Life SciencesIndustries

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Life Sciences, 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

Responsibilities

  • Develop demos, workshops, Jupyter notebooks, and tutorials to help developers build and accelerate their workflows in genomics and bioinformatics
  • Partner with product, product marketing, engineering and development teams working on groundbreaking technologies to drive internal benchmarking and validation of 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, including building targeted training for partners, Solutions Architects and other internal collaborators, writing whitepapers, blogs, and working through hard problems with a customer on a whiteboard
  • Engage with the external community to provide usability feedback to internal teams to improve product capabilities

Skills

Genomics
Bioinformatics
GPU Acceleration
Parabricks
RAPIDS
Jupyter Notebooks
WGS
RNA
Single-cell Workflows
Technical Writing
Demos
Workshops

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

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.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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