Nvidia Senior Product Manager Medical AI 

United States, California 

194167000

What you'll be doing:

• 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-thinkingClaraopen models and companion platform(s) capabilities.

• Be responsible for building compelling GTMs with product marketers and enable the sales team with strong product value props and benchmarks.

What we need to see:

• 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

• Product Management Experience: Proven track record in product management, particularly within the technology sector, with experience serving large developer ecosystems.Open-source ecosystem development experience highly valued.

• 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.

Ways to stand out from the crowd:

• Familiarity with NVIDIA’s AI technology stack, including MONAI, PyTorch, CUDA, TensorRT, Omniverse, Cosmos, NIMs, or more

• Experience in developing and deploying AI solutions in healthcare environments.