... Mentoring interns joining NVIDIA during their PhD programs. Qualifications : Required : • ... • A strong research track record, with work published in top robotics and AI conferences and ...
... Mentoring interns joining NVIDIA during their PhD programs. Qualifications : Required : • ... • A strong research track record, with work published in top robotics and AI conferences and ...
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... We are now recruiting top Applied Research Interns to join Nemotron post-training team. Together ...
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... We are now recruiting top Applied Research Interns to join Nemotron post-training team. Together ...
This research strives to transform research paradigms, transfer into NVIDIA's robotics and ... Mentoring interns joining NVIDIA during their PhD programs. What we need to see: * Completing a PhD ...
This research strives to transform research paradigms, transfer into NVIDIA's robotics and ... Mentoring interns joining NVIDIA during their PhD programs. What we need to see: * Completing a PhD ...
Senior Research Scientist, Efficient Deep Learning
Santa Clara, CA · On-site
$115K - $147K/yr
NVIDIA is searching for an outstanding Senior Researcher working on efficient deep learning to join ... Mentor interns. * Work with product groups to transfer technology. What we need to see: * A Ph.D ...
Senior Research Scientist, Efficient Deep Learning
Santa Clara, CA · On-site
$115K - $147K/yr
NVIDIA is searching for an outstanding Senior Researcher working on efficient deep learning to join ... Mentor interns. * Work with product groups to transfer technology. What we need to see: * A Ph.D ...
Senior Robotics Research Scientist
Seattle, WA · On-site
$112K - $142K/yr
Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; * Mentoring interns and more junior research scientists and ...
Senior Robotics Research Scientist
Seattle, WA · On-site
$112K - $142K/yr
Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; * Mentoring interns and more junior research scientists and ...
NVIDIA is searching for an outstanding researcher working on efficient deep learning to join the ... Mentor interns. * Speak at conferences and events. * Work with product groups to transfer ...
NVIDIA is searching for an outstanding researcher working on efficient deep learning to join the ... Mentor interns. * Speak at conferences and events. * Work with product groups to transfer ...
This research strives to transform research paradigms, transfer into NVIDIA's robotics and ... Mentoring interns joining NVIDIA during their PhD programs. What we need to see: * Completing a PhD ...
This research strives to transform research paradigms, transfer into NVIDIA's robotics and ... Mentoring interns joining NVIDIA during their PhD programs. What we need to see: * Completing a PhD ...
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... We are now recruiting top Applied Research Interns to join Nemotron post-training team. Together ...
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... We are now recruiting top Applied Research Interns to join Nemotron post-training team. Together ...
Senior Research Scientist, AI Accelerator Design and VLSI
Santa Clara, CA · On-site
$115K - $147K/yr
NVIDIA is seeking aSenior Research Scientistto drive groundbreaking research at the intersection ... or interns, driving cross-functional initiatives with circuits/VLSI/architecture groups, and ...
Senior Research Scientist, AI Accelerator Design and VLSI
Santa Clara, CA · On-site
$115K - $147K/yr
NVIDIA is seeking aSenior Research Scientistto drive groundbreaking research at the intersection ... or interns, driving cross-functional initiatives with circuits/VLSI/architecture groups, and ...
NVIDIA is seeking exceptional security and privacy researchers to contribute to the development of ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...
NVIDIA is seeking exceptional security and privacy researchers to contribute to the development of ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...
NVIDIA is searching for an outstanding researcher working on efficient deep learning to join the ... Mentor interns. * Speak at conferences and events. * Work with product groups to transfer ...
NVIDIA is searching for an outstanding researcher working on efficient deep learning to join the ... Mentor interns. * Speak at conferences and events. * Work with product groups to transfer ...
Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
$17.50 - $23.50/hr
We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped ...
Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
$17.50 - $23.50/hr
We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped ...
Senior Research Scientist, Efficient Deep Learning
Santa Clara, CA · On-site
$115K - $147K/yr
NVIDIA is searching for an outstanding Senior Researcher working on efficient deep learning to join ... Mentor interns. * Work with product groups to transfer technology. What we need to see: * A Ph.D ...
Senior Research Scientist, Efficient Deep Learning
Santa Clara, CA · On-site
$115K - $147K/yr
NVIDIA is searching for an outstanding Senior Researcher working on efficient deep learning to join ... Mentor interns. * Work with product groups to transfer technology. What we need to see: * A Ph.D ...
NVIDIA is seeking Research Intern with a focus in System Software and System I/O Architecture to ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...
NVIDIA is seeking Research Intern with a focus in System Software and System I/O Architecture to ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...
NVIDIA is seeking Research Intern with a focus in System Software and System I/O Architecture to ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...
NVIDIA is seeking Research Intern with a focus in System Software and System I/O Architecture to ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...
Senior Research Scientist, Efficient Deep Learning (Santa Clara)
Santa Clara, CA · On-site
$116K - $148K/yr
Senior Research Scientist, Efficient Deep Learning NVIDIA is searching for an outstanding Senior ... Mentor interns. * Work with product groups to transfer technology. What we need to see: * A Ph.D ...
New
Senior Research Scientist, Efficient Deep Learning (Santa Clara)
Santa Clara, CA · On-site
$116K - $148K/yr
Senior Research Scientist, Efficient Deep Learning NVIDIA is searching for an outstanding Senior ... Mentor interns. * Work with product groups to transfer technology. What we need to see: * A Ph.D ...
New
NVIDIA is seeking exceptional security and privacy researchers to contribute to the development of ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...
NVIDIA is seeking exceptional security and privacy researchers to contribute to the development of ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...
Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
Santa Clara, CA · On-site
$17.50 - $23.50/hr
We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped ...
Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
Santa Clara, CA · On-site
$17.50 - $23.50/hr
We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped ...
We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich ... This internship is designed to give exceptional graduate researchers the opportunity to do their ...
We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich ... This internship is designed to give exceptional graduate researchers the opportunity to do their ...
We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zurich ... This internship is designed to give exceptional graduate researchers the opportunity to do their ...
We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zurich ... This internship is designed to give exceptional graduate researchers the opportunity to do their ...
Internship Nvidia Research information
See salary details
$2.1K - $2.6K
4% of jobs
$2.6K - $3.1K
7% of jobs
$3.1K - $3.6K
9% of jobs
$3.6K - $4.2K
3% of jobs
$4.4K is the 25th percentile. Wages below this are outliers.
$4.2K - $4.7K
3% of jobs
$4.7K - $5.2K
0% of jobs
$5.2K - $5.7K
0% of jobs
$5.7K - $6.2K
0% of jobs
$6.2K - $6.8K
0% of jobs
$6.8K - $7.3K
1% of jobs
The median wage is $7.4K / yr.
$7.3K - $7.8K
72% of jobs
$2.1K
$6.4K
$7.8K
How much do internship nvidia research jobs pay per month?
As of Jul 6, 2026, the average monthly pay for internship nvidia research in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an Nvidia Research Intern, and why are they important?
To thrive as an Nvidia Research Intern, you typically need a strong background in computer science, mathematics, or a related field, often supported by ongoing graduate or undergraduate study. Familiarity with programming languages such as Python or C++, experience with deep learning frameworks like TensorFlow or PyTorch, and knowledge of GPU computing are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns contribute meaningfully to collaborative research projects. These skills are crucial for engaging in cutting-edge research, driving innovation, and making a tangible impact within Nvidia's fast-paced, technology-driven environment.
What is an Internship at Nvidia Research?
An Internship at Nvidia Research is a temporary position for students or recent graduates to work alongside world-class researchers and engineers on cutting-edge projects in artificial intelligence, deep learning, computer graphics, and related fields. Interns collaborate on innovative research, contribute to publications, and gain hands-on experience with advanced technologies. The program is designed to provide mentorship, skill development, and networking opportunities, often leading to future career prospects in the tech industry.
What types of projects do interns typically work on at Nvidia Research, and how are project assignments determined?
Interns at Nvidia Research often contribute to cutting-edge projects in areas like artificial intelligence, computer vision, graphics, and high-performance computing. Project assignments are matched to interns based on their skills, academic background, and research interests, as well as current team needs. Interns collaborate closely with experienced researchers and engineers, gaining hands-on experience and often co-authoring papers or presenting findings. This environment encourages learning, innovation, and professional growth, making it an excellent opportunity for those considering a research career.
What is the difference between Internship Nvidia Research vs Nvidia Research Engineer?
| Aspect | Internship Nvidia Research | Nvidia Research Engineer |
|---|---|---|
| Required Credentials | Undergraduate or graduate student, relevant coursework | Master's or PhD in Computer Science, Electrical Engineering, or related fields |
| Work Environment | Temporary, project-based, collaborative research setting | Full-time, ongoing research and development projects |
| Employer & Industry Usage | Internship program within Nvidia's research division | Full-time research roles within Nvidia's R&D teams |
Internship Nvidia Research offers students hands-on experience in cutting-edge AI and graphics research, typically lasting a few months. Nvidia Research Engineers are full-time professionals responsible for developing and implementing innovative solutions. Internships are ideal for students exploring careers, while research engineer roles are for those seeking long-term employment in Nvidia's R&D division.
More about Internship Nvidia Research jobs
What cities are hiring for Internship Nvidia Research jobs? Cities with the most Internship 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 Internship Nvidia Research jobs? States with the most job openings for Internship Nvidia Research jobs include:
What job categories do people searching Internship Nvidia Research jobs look for? The top searched job categories for Internship Nvidia Research jobs are:
Full-time
Posted 21 days ago
Job description
Job Summary:
NVIDIA is at the forefront of the AI and robotics revolution, and they are seeking Research Scientists to join their Seattle Robotics Lab. The role involves developing algorithms and methods for robotic manipulation, integrating these into real-world systems, and collaborating with product teams to transfer research into impactful products.
Responsibilities:
• Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;
• Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;
• Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;
• Engaging with the academic community through high-impact publications, conferences, workshops, and code releases;
• Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact;
• Mentoring interns joining NVIDIA during their PhD programs.
Qualifications:
Required:
• Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
• A strong research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.
• Exceptional programming skills in Python, as well as proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo). Familiarity with C++, CUDA, and Warp is a plus.
• Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams.
• Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation.
Preferred:
• Bimanual and dexterous manipulation
• Mobile manipulation and humanoid loco-manipulation
• Multisensory perception (e.g., vision, tactile, and force/torque sensing)
• Simulation, sim-to-real, and real-to-sim
• Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning
• Industrial applications, such as bin-picking, kitting, and assembly
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
NVIDIA is at the forefront of the AI and robotics revolution, and they are seeking Research Scientists to join their Seattle Robotics Lab. The role involves developing algorithms and methods for robotic manipulation, integrating these into real-world systems, and collaborating with product teams to transfer research into impactful products.
Responsibilities:
• Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;
• Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;
• Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;
• Engaging with the academic community through high-impact publications, conferences, workshops, and code releases;
• Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact;
• Mentoring interns joining NVIDIA during their PhD programs.
Qualifications:
Required:
• Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
• A strong research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.
• Exceptional programming skills in Python, as well as proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo). Familiarity with C++, CUDA, and Warp is a plus.
• Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams.
• Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation.
Preferred:
• Bimanual and dexterous manipulation
• Mobile manipulation and humanoid loco-manipulation
• Multisensory perception (e.g., vision, tactile, and force/torque sensing)
• Simulation, sim-to-real, and real-to-sim
• Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning
• Industrial applications, such as bin-picking, kitting, and assembly
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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