Nvidia Healthcare ISV Global Developer Lead 

United States, Texas 

257490668

What You’ll Be Doing:

• Coordinating the development of digital health solutions by orchestrating multiple product teams and initiatives, ensuring the flawless integration of NVIDIA’s forward looking full healthcare stack into the NVIDIA Digital Health ISV ecosystem.

• Work closely with cross-functional teams, including engineering, design, and marketing, to define and implement product roadmaps that align with our ambitious vision.

• Drive innovation and continuous improvement by strictly monitoring market trends, competitor activities, and new technologies in the digital health ISV space.

• Develop and implement detailed project plans, including timelines, achievements, and deliverables, to successfully launch new ISV products in the market.

• Foster a collaborative and inclusive environment that encourages idea-sharing, teamwork, and mutual respect among all team members.

• Collaborate with partners, both internally and externally, to gather feedback, validate product concepts, and ensure alignment with ISV and customer needs that exceed their business goals.

What We Need to See:

• 15+ years overall experience with 10+ years of experience in product management and commercialization within the digital health, clinical informatics, or healthcare AI sectors.

• Extensive experience in leading cross-functional teams and managing complex projects from conception to launch.

• Strong understanding of healthcare data standards (HL7, FHIR), clinical systems (EHR, PACS/RIS), and multi-tenant SaaS architectures.

• Demonstrated expertise in AI toolchains (Triton, TensorRT), agent frameworks (MCP, LLM planning), and inference pipeline optimization.

• Outstanding business insight in analyzing AI platform economics, including estimating TAM, sizing workloads, and forecasting GPU utilization.

• Strong written and verbal communication capabilities, skilled at promoting alignment across engineering, product, BD, and ISV partners.

• Bachelor's degree or equivalent experience

Ways to stand out from the crowd:

• An advanced degree (MS, MBA, PhD) in computer science, biomedical informatics, or a related technical field.

• Experience with deploying regulated AI workflows (e.g., HIPAA, 21 CFR Part 11) in clinical production environments.

• Proven success in driving developer adoption of SDKs, APIs, or hardware-accelerated AI services within complex healthcare stacks.

• Familiarity with accelerated data processing efforts such as database vector search