Developer Relations Manager, Higher Education and Research - Physics

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA, seeks a scientific advisor to help research labs accelerate workloads by integrating NVIDIA frameworks and core software into projects. You will map the research ecosystem, stay current with papers, and translate feedback into actionable platform roadmaps.

The role emphasizes collaboration with researchers, conference participation, and influencing product development with strong evidence from publications and open-source work. Equity offered.

Qualifications

• 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.

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.

Skills

3+ years of experience

AI for physics

Physics-informed ML

Education

PhD or equivalent in related technical field

Tools

CUDA

CUDA-X libraries

NVIDIA AI Enterprise

cuQuantum

Job description

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 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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/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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.