Senior Manager, Developer Relations - Higher Education and Research

NVIDIA is rapidly growing its presence across the research ecosystem, and we are seeking a visionary Developer Relations Senior Manager to lead our Higher Education and Research activities in the US. In this role, you will build and guide a high-performing team of Developer Relations Managers covering key scientific domains, partnering with leading academic labs and universities to accelerate discovery and adoption on NVIDIA platforms.

You will operate at the intersection of frontier AI research, scientific computing, and community engagement, championing NVIDIA's accelerated computing stack across the full research lifecycle, from frameworks and libraries, to foundation model development to domain-specific scientific AI applications.

What You'll Be Doing:

• Manage and mentor a team of Developer Relations Managers to cover AI for science (life sciences, physics, robotics, quantum, climate). Set direction, remove blockers, and build a high-trust, high-performance team.

• Architect a comprehensive researcher engagement strategy across academic labs, research consortia. Translate NVIDIA's platform roadmap into research-relevant opportunities and ensure NVIDIA remains the platform of choice for frontier research.

• Establish positive relationships with PIs, lab directors, research computing leads, and institutional decision-makers. Understand technical needs and institutional dynamics that shape research priorities.

• Champion NVIDIA's full research platform, from CUDA libraries to NeMo, BioNeMo, PhysicsNeMo, Earth-2, Omniverse, RAPIDS etc. Helping researchers unlock platform value across both AI model development and scientific discovery workloads.

• Develop NVIDIA's presence at major AI and scientific research venues, such as NeurIPS, ICML, ICLR, SC, domain scientific conferences, and drive university engagements, workshops, and lab-facing programs.

• Collaborate across Research Account Managers, Solution Architects, Product, Engineering, and Business Development to align ecosystem strategy with global priorities. Translate researcher feedback into actionable product and program insights.

What We Need to See:

• PhD in Computer Science, AI, Machine Learning, Computational Science, or a related technical field, or equivalent experience.

• 12+ overall years of industry and research experience, including 4+ years managing teams in developer relations, research engagement, or technical partnerships.

• Deep technical proficiency across both foundational AI (LLMs, training, post-training, inference) and AI for science (domain AI applications, scientific computing, simulation).

• Proven track record to engage senior research stakeholders with credibility and strategic intent.