Senior Manager, Developer Relations - Higher Education and Research

NVIDIA•Santa Clara, CA

10d•$272,000 - $431,250

About The Position

NVIDIA is seeking a Senior Manager to lead its Higher Education and Research Developer Relations activities in the US. The role builds and guides a high-performing team of Developer Relations Managers covering scientific domains, and partners with academic labs and universities to accelerate discovery and adoption on NVIDIA platforms. The position works across frontier AI research, scientific computing, and community engagement, promoting NVIDIA's accelerated computing stack throughout the research lifecycle—from frameworks and libraries to foundation model development and domain-specific scientific AI applications. The manager develops researcher engagement strategy, builds relationships with academic and institutional stakeholders, increases NVIDIA's presence at research venues, and collaborates across the company to align ecosystem strategy and translate researcher feedback into product and program insights.

Requirements

PhD in Computer Science, AI, Machine Learning, Computational Science, or a related technical field, or equivalent experience.
12+ years of overall industry and research experience.
4+ years managing teams in developer relations, research engagement, or technical partnerships.
Deep technical proficiency in foundational AI, including LLMs, training, post-training, and inference, as well as AI for science, domain AI applications, scientific computing, and simulation.
Proven ability to engage senior research stakeholders with credibility and strategic intent.
Strong track record of driving platform adoption through technical enablement, community programs, and cross-functional collaboration in a matrixed environment.

Nice To Haves

Publications, open-source contributions, or direct experience working on leading AI systems or AI-based scientific solutions.
Hands-on experience with NVIDIA technologies, including CUDA, TensorRT-LLM, Dynamo, NeMo, BioNeMo, PhysicsNeMo, Earth-2, Omniverse, RAPIDS, NIM, or GPU-accelerated computing systems.
Established relationships with leading academic labs, research consortia, and major open-source research communities.
Depth in one or more scientific domains such as physics, bioscience, or quantum computing, with breadth to engage across domains.
Demonstrated ability to operate independently and drive outcomes across a complex, fast-paced global organization.

Responsibilities

Manage and mentor Developer Relations Managers covering AI for science domains, including life sciences, physics, robotics, quantum, and climate; set direction, remove blockers, and build a high-trust, high-performance team.
Develop a comprehensive researcher engagement strategy across academic labs and research consortia, translating NVIDIA's platform roadmap into research-relevant opportunities.
Build relationships with principal investigators, lab directors, research computing leads, and institutional decision-makers; understand technical needs and institutional dynamics that shape research priorities.
Promote NVIDIA's research platform, including CUDA libraries, NeMo, BioNeMo, PhysicsNeMo, Earth-2, Omniverse, and RAPIDS, to support AI model development and scientific discovery workloads.
Develop NVIDIA's presence at major AI and scientific research venues, including NeurIPS, ICML, ICLR, SC, and domain-specific scientific conferences; drive university engagements, workshops, and lab-facing programs.
Collaborate with 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.