Senior Manager, Developer Relations - Higher Education and Research

About the role

The Developer Relations Senior Manager will lead NVIDIA’s Higher Education and Research activities in the US, building and guiding a high-performing team of Developer Relations Managers to cover key scientific domains.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• 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.

Skills

• Technical leadership and management skills.
• Strategic thinking and execution.
• Excellent communication and relationship-building skills.
• Ability to navigate complex organizational structures.

Benefits

• NVIDIA is widely considered one of the technology world's most desirable employers.
• 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.

Pay

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.

Schedule

Full-time