Senior Product Manager, Medical AI at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Healthcare, MedTechIndustries

Requirements

  • BS or MS degree in Computer Science, Computer Engineering, or similar field (or equivalent experience)
  • 12+ years of product management, or similar, experience at a technology company serving enterprises
  • Proven track record in product management, particularly within the technology sector, with experience serving large developer ecosystems
  • Deep understanding of domain specific AI/ML training and inference, Large Language Models (LLMs), Generative AI (Gen AI), and relevant frameworks and libraries especially popular with Medical AI researchers and data scientists
  • Strong leadership, communication, and interpersonal skills to collaborate effectively with cross-functional teams and influence collaborators
  • Ability to balance high-level strategy with detailed planning, analyze market data, and make data-driven decisions

Responsibilities

  • Define top level product strategy, architecture and capabilities by synthesizing input from internal/external applied research/engineering teams and competitive landscape mapping
  • Map the domain specialized foundation model(s) ecosystem and strategize NVIDIA's unique role and contribution to galvanize the entire ecosystem with the right CSP/ISV partners
  • Clearly define use case scenarios and product requirements with specific benchmarks aligned with product goals
  • Coordinate and compose the entire product execution process through technical interactions (architecture building, benchmark reviews, etc) both internally and externally
  • Partner with the functional leaders across Engineering, Applied Research, Developer Relations, Marketing and Business Development to create new market opportunities with high value, forward-thinking MONAI platform capabilities
  • Be responsible for building compelling GTMs with product marketers and enable the sales team with strong product value props and benchmarks

Skills

Product Strategy
Product Roadmap
Medical AI
MONAI
Foundation Models
Benchmarks
Technical Architecture
Ecosystem Partnerships
Go-to-Market
Product Requirements

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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