NVIDIA
Senior Developer Relations Manager, Digital Health Enterprise Developers
$224K–$431K
US, CA, Santa Clara · Manager · Full-time · Posted Jul 21, 2026
- Experience
- 12+ years overall in healthcare technology, including 5+ years of direct hands-on healthcare AI development and deployment experience.
- Education
- Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.
About the job
Drives adoption of NVIDIA AI and computing platforms among digital health enterprise developers through technical guidance, integrations, partner enablement, and collaboration on product roadmaps.
What you'll do
- Demonstrate and integrate NVIDIA’s software stack into partner products, platforms, and pipelines; provide sample code, guides, and demo pipelines.
- Advise partner technical leaders, resolve integration challenges, and build strategic relationships across healthcare software companies.
- Map digital health developer ecosystems and collaborate with internal engineering, product, and marketing teams on roadmaps and adoption strategies.
What they ask for
- Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.
- 12+ years of overall professional experience in healthcare technology, including 5+ years of hands-on experience developing and deploying healthcare AI capabilities.
- Experience leading, partnering, or scaling developer programs at major healthcare technology companies.
- Technical depth in digital health enterprise software and generative and agentic AI frameworks and libraries.
Nice to have
- Hands-on experience building and optimizing agentic AI solutions in healthcare.
- Familiarity with CUDA, NeMo, Nemotron, Triton, TensorRT, containers, or Kubernetes.
Pay
224,000 USD - 356,500 USD base salary (Level 5); 272,000 USD - 431,250 USD base salary (Level 6)
Tools
NVIDIA software stack, CUDA, NeMo, Nemotron, Triton, TensorRT, containers, Kubernetes
AI focus
Promotes adoption and integration of generative and agentic AI for digital health enterprise workloads, including developing and deploying healthcare AI capabilities and enabling partner solutions.
Model-written summary · the original posting is authoritative