Developer Relations Manager, Higher Education and Research, Foundational AI

What you'll do

• Serve as a technical advisor to academic labs developing foundation models, LLMs, and multimodal AI.
• Identify research workloads where NVIDIA software and accelerated computing platforms can improve model performance and scale.
• Engage with principal investigators and researchers to identify technical blockers and infrastructure needs.
• Track frontier AI research across papers and open-source projects to identify emerging platform opportunities.
• Translate academic feedback into actionable insights for product roadmaps and developer programs.
• Support NVIDIA's participation in major AI research venues through technical content and workshops.
• Partner with internal teams to drive researcher adoption of NVIDIA's AI and systems technologies.

What we're looking for

• PhD in Computer Science, AI, Machine Learning, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent research depth.
• 5+ years of experience.
• Deep expertise in foundational AI, including LLMs, multimodal models, generative AI, reasoning, post-training, model evaluation, or AI systems research.
• Strong understanding of modern AI model development across the lifecycle, including pretraining, fine-tuning, optimization, deployment, and model serving.
• Hands-on experience with AI research stacks such as PyTorch, JAX, distributed training frameworks, and GPU-accelerated workflows.
• Technical fluency in scalable AI systems, including distributed training, parallelism strategies, memory optimization, and cost-performance tradeoffs.
• Demonstrated research credibility through publications, open-source contributions, academic collaborations, or direct work on frontier AI systems.
• Experience with NVIDIA AI platforms, established relationships with leading AI labs, or a track record of presenting at major research venues (preferred).