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NEXTMOVEFDE careers · United States
NVIDIA

Developer Relations Manager, Higher Education and Research - Foundational AI

AI summary of the role

NVIDIA seeks a Developer Relations Manager to engage leading research labs, accelerating adoption of AI and computing platforms.

What you’ll do

  • Act as a trusted technical advisor for research labs, integrating NVIDIA's frameworks and software stack into research projects.
  • Map and assess the research ecosystem to identify growth opportunities and inform technology strategies.
  • Collaborate cross-functionally with Research Account Managers, Solution Architects, and Business Development teams.
  • Attend domain scientific conferences and facilitate NVIDIA participation.

What you’ll bring

  • PhD in Computer Science, AI, Machine Learning, or related field (or equivalent research depth).
  • 3+ years of experience.
  • Deep expertise in agentic AI systems including LLM agents, tool use, planning, reasoning, and multi-agent systems.
  • Hands-on experience building or evaluating agent systems using modern AI frameworks and deployment patterns.

Technologies

CUDA · CUDA-X · NVIDIA AI Enterprise · NIM · NeMo · NeMo Agent Toolkit · Omniverse · Isaac · RAPIDS · TensorRT · Triton Inference Server · DGX

About NVIDIA

Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.

Public

Source and classification

Deployment strategy · Evidence for this classification:

We are seeking a dynamic, mission-driven Developer Relations Manager to engage leading research labs. In this role, you will work directly with research labs to accelerate the adoption of NVIDIA’s sophisticated AI and computing platforms. The ideal candidate combines deep technical expertise with strong experience in research engagement and proven track record to translate advanced technologies into impactful, research-driven outcomes. What you'll be doing: 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
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