[Remote] Digital Health Product Alliance Lead at NVIDIA

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, AIIndustries

Requirements

BS / MS / PhD in Computer Science, Engineering, or Medicine (or equivalent experience)
8 years of experience in the digital health space, preferably with healthcare application development lifecycle experience
Working knowledge and experience of deep learning, machine learning, and AI applications and platforms in healthcare
Direct experience using Deep Learning techniques in healthcare (e.g., LLM, speech, computer vision) such as Riva, NEMO, PyTorch and TensorFlow
Ability to drive strategic relationships with key opinion leaders in healthcare, influential researchers, leading startups, healthcare IT, and medical instrument product teams
Excellent communication skills: ability to coordinate well across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers
Familiarity with or use of accelerated computing with GPUs
Passion for writing and reviewing assets such as blogs, guides, and position papers
Base salary will be determined based on location, experience, and pay of employees in similar positions
Eligibility for equity and benefits

Responsibilities

Lead digital health developer and industry strategies with cross-functional teams
Nurture positive relationships with external engineering leads and developers
Deeply understand the roadmap for product and engineering, steering and conducting technical reviews of new product releases
Evangelize the embedded accelerated computation platform with innovative technologies
Distill feature requests into concrete engineering and product actions
Collaborate with NVIDIA global account managers to align technology roadmaps
Develop product sales and marketing collateral
Build strategic partnerships and community relationships
Attend research conferences, host technical meetups, and conduct hackathons
Write technical blogs and developer news articles to evangelize new features to developers

Skills

Developer Strategy

Industry Strategy

Product Roadmap

Technical Reviews

Large Language Models

Speech Technologies

Video Technologies

Strategic Partnerships

Community Building

Technical Communication

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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