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Senior Manager, Developer Relations - Higher Education and Research

NVIDIA· Mgmt, Dev Relations
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Santa Clara, CA$272k - $431.3kFull-timePosted 1mo ago

About the role

Lead and mentor a team of Developer Relations Managers focused on Higher Education and Research in the US, driving engagement with academic labs and institutions to accelerate adoption of NVIDIA platforms across the research lifecycle.

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 (NeurIPS, ICML, ICLR, SC) 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.

Qualifications

  • PhD in Computer Science, AI, Machine Learning, Computational Science, or related field, or equivalent experience.
  • 12+ years of industry and research experience, including 4+ years managing teams in developer relations, research engagement, or technical partnerships.
  • Deep technical proficiency across foundational AI (LLMs, training, post-training, inference) and AI for science (domain AI applications, scientific computing, simulation).
  • Proven track record engaging 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.

Skills

Required:Team leadership and mentorshipStrategic engagement with academic institutionsCustomer/stakeholder relationship management

Benefits

  • Equity
  • Benefits (as described in company benefits page)
Last updated Aug 28, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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