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Developer Relations Manager, Higher Education and Research - Physics

NVIDIA· Account Mgr, Dev Relations
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Santa Clara, CA, Hybrid (US (Remote))$152k - $241.5k + equityfull-timePosted 5mo ago

About the role

Developer Relations Manager engaging leading research labs to accelerate adoption of NVIDIA AI and computing platforms, combining technical depth with research engagement experience to drive research-focused outcomes.

Responsibilities

  • Act as a trusted technical advisor for research labs, identifying and accelerating high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects.
  • Map and continuously assess the research ecosystem to identify institutional growth opportunities and inform long-term technology strategies
  • Stay current on research papers across affiliated domains to anticipate emerging trends and provide technical direction on future collaboration areas.
  • Collaborate cross-functionally with Research Account Managers, Solution Architects, and Business Development teams to drive researcher enablement
  • Forge closer ties with lab personnel, understanding organizational dynamics and the full scope of research being conducted.
  • Attend domain scientific conferences and facilitate NVIDIA participation alongside other subject matter experts.
  • Represent the needs of researchers internally by translating academic feedback into actionable insights that shape product development, education programs, and platform roadmaps.

Qualifications

  • PhD in Computer Science, AI, Machine Learning, Computational Science, Physics, or a related technical field; or equivalent experience demonstrating comparable research depth.
  • 3+ years of experience.
  • Deep expertise applying AI to computational physics, particle physics, astrophysics, plasma/fusion, quantum systems, materials science, climate/earth systems, or scientific simulation.
  • Strong fluency in AI methods relevant to physics, including neural operators, surrogate models, physics-informed ML, differentiable simulation, simulation-based inference, generative modeling, and uncertainty quantification.
  • Understanding of physics research workflows, including HPC simulations, numerical solvers, experimental/sensor data, large-scale instruments, inverse problems, and GPU-accelerated scientific pipelines.
  • Ability to engage top physics and national lab researchers on physical consistency, interpretability, numerical accuracy, reproducibility, simulation speedups, and scientific validity.
  • Research credibility through publications, open-source scientific software, academic or national lab collaborations, technical leadership, or hands-on work in AI for physics or computational science.

Skills

Required:PhD or equivalent research depthAI methods for physicsPhysics research workflowsStakeholder engagement with researchers

Benefits

  • equity and benefits
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

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

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