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NVIDIA

Designs the chips and software that power AI

Developer Relations Manager - Higher Education and Research, Physics

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A PhD in Computer Science, artificial intelligence, machine learning, computational science, physics, or a related technical field, or equivalent experience demonstrating comparable research depth.
  • At least 3 years of experience.
  • Deep expertise applying artificial intelligence to computational physics, particle physics, astrophysics, plasma or fusion, quantum systems, materials science, climate or earth systems, or scientific simulation.
  • Strong fluency in artificial-intelligence methods relevant to physics, including neural operators, surrogate models, physics-informed machine learning, differentiable simulation, simulation-based inference, generative modeling, and uncertainty quantification.
  • Understanding of physics research workflows, including high-performance computing simulations, numerical solvers, experimental or sensor data, large-scale instruments, inverse problems, and graphics processing unit-accelerated scientific pipelines.
  • Ability to engage physics and national laboratory researchers on physical consistency, interpretability, numerical accuracy, reproducibility, simulation speedups, and scientific validity.
  • Research credibility demonstrated through publications, open-source scientific software, academic or national laboratory collaborations, technical leadership, or hands-on work in artificial intelligence for physics or computational science.

Responsibilities

  • Act as a trusted technical advisor for research labs, identifying and accelerating high-impact workloads by integrating NVIDIA 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 researchers' needs internally by translating academic feedback into actionable insights that shape product development, education programs, and platform roadmaps.

Desired Qualifications

  • Experience with NVIDIA technologies and platforms such as CUDA, CUDA-X libraries, NVIDIA AI Enterprise, NIM, NeMo/Nemotron, PhysicsNeMo, cuQuantum, Omniverse, Isaac, RAPIDS, TensorRT, Triton Inference Server, or DGX and accelerated computing systems.
  • Established relationships with leading academic labs, research institutes, national labs, or major open-source research communities.
  • Track record translating frontier research into demos, reference architectures, workshops, technical content, or developer enablement programs.
  • Experience presenting at academic conferences, research workshops, technical summits, or university-facing events.
  • Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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