Job description

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. • Strong track record of driving platform adoption through technical enablement, community programs, and cross-functional collaboration in a matrixed environment. Ways to Stand Out from the crowd: • Research Credibility: Publications, open-source contributions, or direct experience working on leading AI systems or scientific solutions based on AI. • Platform Depth : Hands-on experience with NVIDIA technologies including CUDA, TensorRT-LLM, Dynamo, NeMo, BioNeMo, PhysicsNeMo, Earth-2, Omniverse, RAPIDS, NIM, or GPU-accelerated computing systems. • Research ecosystem network: Established relationships with leading academic labs, research consortia and major open-source research communities. • Scientific Domain Expertise: Depth in one or more priority verticals, such as physics, bioscience, quantum computing etc, with the breadth to engage across domains. • Matrix Navigator: Demonstrated ability to operate independently and drive outcomes across a complex, fast-paced global organization. NVIDIA is widely considered one of the technology world's most desirable employers. If you are a technically credible, highly autonomous leader who thrives at the frontier of AI and science, we want to hear from you! NVIDIA is committed to encouraging an inclusive work environment and proud to be an equal opportunity employer! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

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.
Establish positive relationships with PIs, lab directors, research computing leads, and institutional decision-makers. Understand technical needs and institutional dynamics that shape research priorities.
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.
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.
Strong track record of driving platform adoption through technical enablement, community programs, and cross-functional collaboration in a matrixed environment.
Research Credibility: Publications, open-source contributions, or direct experience working on leading AI systems or scientific solutions based on AI.
Platform Depth : Hands-on experience with NVIDIA technologies including CUDA, TensorRT-LLM, Dynamo, NeMo, BioNeMo, PhysicsNeMo, Earth-2, Omniverse, RAPIDS, NIM, or GPU-accelerated computing systems.
Research ecosystem network: Established relationships with leading academic labs, research consortia and major open-source research communities.
Scientific Domain Expertise: Depth in one or more priority verticals, such as physics, bioscience, quantum computing etc, with the breadth to engage across domains.
Matrix Navigator: Demonstrated ability to operate independently and drive outcomes across a complex, fast-paced global organization.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

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aimachine learningllm

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Effort: medium

Benefits

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