Director, Healthcare Applied Research

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Medical Imaging, Artificial Intelligence, Software DevelopmentIndustries

Requirements

A Master's or PhD degree in Computer Science, Electrical Engineering, Mathematics, or a similar field or equivalent experience is required, along with 4+ years of leadership experience and 10+ years of relevant industry experience. Industry-leading mastery of machine learning, generative models, LLMs, and computer vision techniques is essential, as is a demonstrated track record of building applied medical research programs and innovating across domains. Excellent problem-solving, analytical, team leadership, communication, presentation, and interpersonal skills are necessary, with experience in Python, C/C++, or other programming languages being a plus.

Responsibilities

The Director, Healthcare Applied Research will lead NVIDIA's Clara strategy in Healthcare and Medical Imaging domains, developing and driving applied research strategy for medical products and software development platforms. This role involves defining and implementing a data curation strategy, focusing efforts on improving leading technology in healthcare by bringing together cross-company capabilities, and driving research and development of new medical applications using machine learning, generative AI, and computer vision. The position also includes enabling business and solution architect teams with generative AI capabilities and guiding NVIDIA's strategic investment in future research by deeply understanding the current state of the art in generative AI and medical research.

Skills

Machine Learning

Computer Vision

Generative AI

LLMs

Medical Imaging

Data Curation

Research Strategy

Leadership

Bio Sciences

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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