NVIDIA
Developer Relations Manager, Higher Education and Research - Foundational AI
$152K–$288K
US, CA, Santa Clara +1 · Manager · Full-time · Posted Sep 21, 2026
- Location
- US, CA, Santa Clara
US, Remote - Experience
- 5+ years in the technology industry across software engineering, developer relations, technical partnerships, solutions architecture, or product management, including 3+ years of hands-on AI experience.
- Education
- PhD in Computer Science, AI, Machine Learning, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent research experience.
About the job
Engages leading academic AI labs and helps them adopt NVIDIA platforms to advance foundational AI research and model performance, efficiency, and scale.
What you'll do
- Advise academic AI labs on foundation models, AI systems, and research workloads suited to NVIDIA platforms.
- Track frontier AI research and translate researcher needs into insights for product roadmaps and platform strategy.
- Coordinate researcher engagement with internal teams and support technical content, workshops, and university programs.
What they ask for
- PhD in a related technical field, or equivalent research experience.
- 5+ years of technology-industry experience in specified fields, including 3+ years of hands-on AI experience.
- Deep foundational AI expertise and understanding of modern model development across its lifecycle.
- Hands-on experience with AI research stacks and technical fluency in scalable AI systems.
Nice to have
- Experience with NVIDIA AI platforms and technologies.
- Established academic or open-source relationships, or a record of translating research into technical content and presenting at research venues.
Pay
152,000 USD - 241,500 USD (base salary, Level 3); 184,000 USD - 287,500 USD (base salary, Level 4)
Tools
PyTorch, JAX, CUDA, CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NIM, NeMo
AI focus
Supports foundational AI research and adoption, including LLMs, multimodal and reasoning models, training, inference, model serving, and scalable AI infrastructure.
Model-written summary · the original posting is authoritative