Drimva

NVIDIA

Senior Manager, Developer Relations - Higher Education and Research

$272K–$431K

US, CA, Santa Clara · Manager · Full-time · Posted Aug 27, 2026

Experience
12+ overall years of industry and research experience, including 4+ years managing teams in developer relations, research engagement, or technical partnerships.
Education
PhD in Computer Science, AI, Machine Learning, Computational Science, or a related technical field, or equivalent experience.

About the job

Lead NVIDIA’s US higher-education and research developer-relations efforts, building a team and driving adoption of NVIDIA platforms across academic research.

What you'll do

  • Manage and mentor Developer Relations Managers covering AI for science and set team direction.
  • Develop researcher-engagement strategy and build relationships with academic and research stakeholders.
  • Promote NVIDIA’s research platform, lead conference and university programs, and coordinate across internal teams to translate researcher feedback into product and program insights.

What they ask for

  • PhD in Computer Science, AI, Machine Learning, Computational Science, or a related technical field, or equivalent experience.
  • 12+ years of industry and research experience, including 4+ years managing teams in developer relations, research engagement, or technical partnerships.
  • Deep technical proficiency in foundational AI and AI for science.
  • Track record engaging senior research stakeholders and driving platform adoption through technical enablement, community programs, and cross-functional collaboration.

Nice to have

  • Publications, open-source contributions, or direct experience with leading AI systems or AI-based scientific solutions.
  • Hands-on NVIDIA technology experience, research ecosystem relationships, scientific-domain expertise, or experience navigating a complex global organization.

Pay

272,000 USD - 431,250 USD (base salary)

Tools

CUDA, NeMo, BioNeMo, PhysicsNeMo, Earth-2, Omniverse, RAPIDS, TensorRT-LLM

AI focus

Lead developer relations and platform adoption for frontier AI research and AI for science, spanning LLMs, training, post-training, inference, scientific computing, simulation, and domain-specific scientific AI applications.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 5, 2026 (UTC)