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Physics Content Developer Night Jobs (NOW HIRING)

This person should be able to help bridge academic content with design, technical thinking, problem ... Degree in Mathematics or Physics required * Engineering experience or background strongly preferred

Head of Mathematics, Physics, and Engineering

Miami, FL · On-site

$45.90K - $61.70K/yr

This person should be able to help bridge academic content with design, technical thinking, problem ... Degree in Mathematics or Physics required > * Engineering experience or background strongly ...

Head of Mathematics, Physics, and Engineering

Miami, FL · On-site

$45.90K - $61.70K/yr

This person should be able to help bridge academic content with design, technical thinking, problem ... Degree in Mathematics or Physics required * Engineering experience or background strongly preferred

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How much do physics content developer night jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for physics content developer night in the United States is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.48 per hour, depending on experience, location, and employer.
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Developer Relations Manager, Higher Education and Research - Physics

Developer Relations Manager, Higher Education and Research - Physics

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 26 days ago


Job description

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 a proven track record of turning advanced technologies into meaningful, research-focused results.

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.

NVIDIA is widely considered to be one of the technology world's most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.

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.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993