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Volunteer Nvidia Research Jobs (NOW HIRING)

University of Florida

VIS AST PROF

Gainesville, FL · On-site

Active participation in the department's research activities is expected. A Ph.D. in the ... NVIDIA GPU SuperPod ( in support of the AI initiative, which aims to expand the role of AI in ...

CoreWeave

VP, Product AI/ ML

Sunnyvale, CA · On-site

$233K - $341K/yr

You will bridge the gap between "the metal" and the researcher, delivering a seamless, high ... Work directly with the latest NVIDIA architectures. * Impact: You will be the architect of the ...

CoreWeave

VP, Product AI/ ML

Livingston, NJ · On-site

$233K - $341K/yr

You will bridge the gap between "the metal" and the researcher, delivering a seamless, high ... Work directly with the latest NVIDIA architectures. * Impact: You will be the architect of the ...

Sas

Data Scientist (Emerging Careers)

Cary, NC · On-site

$100 - $140/hr

You will research and develop high-quality demos to illustrate the application of computer vision ... Experience in deployment using Nvidia CUDA Toolkit * Experience with containers and Kubernetes

SAS

Data Scientist (Emerging Careers)

Cary, NC · Hybrid

You will research and develop high-quality demos to illustrate the application of computer vision ... Experience in deployment using Nvidia CUDA Toolkit * Experience with containers and Kubernetes

SAS

Data Scientist (Emerging Careers)

Cary, NC · On-site

You will research and develop high-quality demos to illustrate the application of computer vision ... Experience in deployment using Nvidia CUDA Toolkit * Experience with containers and Kubernetes

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Volunteer Nvidia Research information

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How much do volunteer nvidia research jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for volunteer nvidia research in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

What is the difference between Volunteer Nvidia Research vs Nvidia Research Intern?

AspectVolunteer Nvidia ResearchNvidia Research Intern
Required CredentialsTypically no formal credentials, open to enthusiasts and studentsUsually pursuing or holding a degree in computer science, engineering, or related fields
Work EnvironmentRemote or on-site, flexible hours, volunteer basisOn-site or remote, structured internship program, paid or unpaid
Employer & Industry UsageNon-profit, open-source projects, community-drivenCorporate research division of Nvidia, industry-focused
Search & Comparison IntentUnderstanding volunteer opportunities in Nvidia researchSeeking internship experience at Nvidia research

Volunteer Nvidia Research involves contributing without formal compensation, often focusing on open-source or community projects. Nvidia Research Internships are structured programs for students or recent graduates seeking industry experience. While both roles involve Nvidia's research environment, internships typically require relevant credentials and offer more formal training, whereas volunteer roles are more flexible and accessible to a broader audience.

More about Volunteer Nvidia Research jobs
What cities are hiring for Volunteer Nvidia Research jobs? Cities with the most Volunteer Nvidia Research job openings:
What are the most commonly searched types of Nvidia Research jobs? The most popular types of Nvidia Research jobs are:
What states have the most Volunteer Nvidia Research jobs? States with the most job openings for Volunteer Nvidia Research jobs include:
What job categories do people searching Volunteer Nvidia Research jobs look for? The top searched job categories for Volunteer Nvidia Research jobs are:
Volunteer Nvidia Research jobs near you
Infographic showing various Volunteer Nvidia Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

NIST PREP Research Associate in Physical AI

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$88K - $100K/yr

Full-time

Posted 5 days ago

Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Physical AI Researcher
The work will entail:
NIST is investigating the performance of commercial and custom AI systems (hardware and software) for Physical AI applications, specifically in machine learning, reinforcement learning, and foundation model training for Vision-Language Models (VLMs) and Vision-Language Action (VLA) architectures. The work will focus on leveraging physics-based simulations (e.g., Gazebo, MuJoCo, Drake) and synthetic data generation within platforms like NVIDIA IsaacSim / GR00T / Cosmos to conduct experiments, analyze system capabilities, and generate high-quality data to train robust Physical AI systems.
Key responsibilities will include but are not limited to:
  • Develop Physical AI applications using machine learning and reinforcement learning.
  • Research and develop Foundational model training for Vision-Language Models (VLMs) and Vision-Language Action (VLA) architectures.
  • Research and develop methods for synthetic data generation within platforms like NVIDIA IsaacSim / GR00T / Cosmos to conduct experiments to analyze system capabilities, and generate high-quality data to train robust Physical AI Systems.
  • Write reports and develop weekly presentations to explain the progress of the project
  • Work Schedule: On-campus (Gaithersburg, MD), Full-Time (40 hrs / week)

Qualifications
  • US Citizen Preferred
  • Education: Engineering / Computer Science majors with Master's Degree or Ph.D, or in the final year of degree (e.g., Computer Science, Robotics, Mechanical Engineering or similar)
  • Strong programming experience in Python and C++
  • Experience in AI / Machine Learning frameworks (e.g., TensorFlow, PyTorch, etc.)
  • Experience with developing and applying tools for Machine Learning, Reinforcement Learning, and Foundational Models for Vision-Language Models (VLM) and Vision-Language Action (VLA) architectures
  • Experience in Synthetic data generation in and for NVIDIA IsaacSim, GR00T, and Cosmos environments
  • Experience in Physics-based simulation engines (e.g., Gazebo, MuJoCo, Drake, etc.)
  • Experience with version control software and workflow (e.g., Git, GitHub, GitLab, BitBucket, etc)
  • Experience with Unix / Linux Operating systems
  • Experience with ROS 2 on Linux systems
  • Some experience in with CAD software (e.g., SolidWorks, OnShape, etc.)

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0005086

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