Developer Relations Manager, Higher Education and Research – AI for Science

What you'll do

• Advise research labs and integrate NVIDIA frameworks, libraries, and software into research projects.
• Assess research ecosystems and trends to identify growth opportunities and guide collaboration and technology strategy.
• Partner across teams, represent researcher needs internally, and support researcher enablement and adoption.

What they ask for

• PhD in Computer Science, AI, Machine Learning, Computational Science, or a related technical field; or equivalent experience demonstrating comparable research depth.
• 4+ years of experience in research or industry advancing innovation at the intersection of AI and science.
• Deep expertise applying AI, including Generative AI and Physical AI, to a scientific domain; strong understanding of frontier AI and computational science challenges.
• Hands-on experience building or evaluating AI systems using modern frameworks, model APIs, orchestration tools, retrieval systems, and sandboxed execution; research credibility through publications, open-source contributions, or academic collaborations.

Nice to have

• Experience with NVIDIA technologies and platforms, such as CUDA, NIM, NeMo/Nemotron, BioNeMo, Omniverse, or DGX systems.
• Established academic or research-community relationships; experience translating research into technical content, events, or developer enablement.

Pay

152,000 USD - 241,500 USD (base salary, Level 3); 184,000 USD - 287,500 USD (base salary, Level 4)

Tools

CUDA, CUDA-X libraries, NVIDIA AI Enterprise, NIM, NeMo/Nemotron, BioNeMo, cuQuantum, Omniverse

AI focus

Applies AI, including Generative AI and Physical AI, to scientific research; supports research-grade AI systems and adoption of NVIDIA platforms.