Senior Researcher Green Card Jobs
Senior Researcher roles at U.S. universities, federal labs, and private R&D centers qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification. Your employer files the I-140 petition after DOL approves the prevailing-wage audit, putting you on a path to permanent residency rather than a renewable temporary status.
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INTRODUCTION
We are now looking for a Senior Research Scientist focused on Multimodal Foundation Models and Robotics! NVIDIA is searching for an outstanding research scientist to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. Everything that moves will eventually be autonomous. Our mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and the physical world.
You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. One of our team’s most recent milestones includes Project GR00T, a foundation model for humanoid robots. Your contributions will have a significant impact on our moonshot research projects and product roadmaps.
ROLE AND RESPONSIBILITIES
What you will be doing:
- Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents;
- Develop large-scale AI training and inference methods for foundation models;
- Optimize and deploy AI models in physical simulation and on robot hardware;
- Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.
BASIC QUALIFICATIONS
What we need to see:
- A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience.
-
5 years of relevant work/research experience across one or both of these fields:
-
Multimodal Foundation Models
- Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; or Action-based transformers.
- Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a big plus;
- Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure.
-
Robotics:
- Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc.
- Strong programming skills in Python, C++, ROS, and machine learning frameworks like PyTorch.
- Deep understanding of robot kinematics, dynamics, and sensors;
- Ability to safely operate robot hardware, lab equipment, and tools;
- Knowledge of control methods, including PID, model predictive control, and whole-body control;
- Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim;
- Robot hardware design and hands-on building experience.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 5, 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.

INTRODUCTION
We are now looking for a Senior Research Scientist focused on Multimodal Foundation Models and Robotics! NVIDIA is searching for an outstanding research scientist to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. Everything that moves will eventually be autonomous. Our mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and the physical world.
You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. One of our team’s most recent milestones includes Project GR00T, a foundation model for humanoid robots. Your contributions will have a significant impact on our moonshot research projects and product roadmaps.
ROLE AND RESPONSIBILITIES
What you will be doing:
- Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents;
- Develop large-scale AI training and inference methods for foundation models;
- Optimize and deploy AI models in physical simulation and on robot hardware;
- Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.
BASIC QUALIFICATIONS
What we need to see:
- A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience.
-
5 years of relevant work/research experience across one or both of these fields:
-
Multimodal Foundation Models
- Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; or Action-based transformers.
- Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a big plus;
- Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure.
-
Robotics:
- Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc.
- Strong programming skills in Python, C++, ROS, and machine learning frameworks like PyTorch.
- Deep understanding of robot kinematics, dynamics, and sensors;
- Ability to safely operate robot hardware, lab equipment, and tools;
- Knowledge of control methods, including PID, model predictive control, and whole-body control;
- Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim;
- Robot hardware design and hands-on building experience.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 5, 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.
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Get Access To All JobsTips for Finding Green Card Sponsorship in Senior Researcher
Document your research credentials before applying
Pull together publications, grants, and institutional affiliations before you target employers. PERM audits require your employer to verify your qualifications meet the advertised minimum requirements, and gaps in your documentation slow the process.
Target employers with established PERM filing history
Universities, federal contractors, and large pharmaceutical companies file PERM routinely for researcher roles. Smaller biotech startups may have the budget but lack the internal HR infrastructure to manage a multi-year sponsorship process without outside help.
Understand how EB-2 NIW changes your strategy
If your research addresses a national interest area, the National Interest Waiver lets you self-petition under EB-2 without a specific employer or PERM. That removes job-offer dependency entirely, which matters if you want flexibility between institutions.
Search green-card-sponsoring research employers on Migrate Mate
Filter by role and sponsorship type on Migrate Mate to find research institutions with active EB-2 and EB-3 filing history. That narrows your outreach to employers already familiar with PERM, which shortens the education phase of the hiring conversation.
Verify prevailing wage before negotiating your offer
Use the OFLC Wage Search to look up the DOL prevailing wage for your job zone and location before accepting an offer. Your employer must certify your salary meets that threshold on the LCA, so offers below the posted wage create a filing problem you can't fix after signing.
Clarify the green card timeline during the offer stage
Ask your employer directly whether they plan to file PERM concurrently with your start date or after a waiting period. For EB-3 filers from most countries, priority dates are current, but delays in employer initiation are the most common reason researcher sponsorships stall.
Senior Researcher jobs are hiring across the US. Find yours.
Find Senior Researcher JobsSenior Researcher Green Card Sponsorship: Frequently Asked Questions
Do Senior Researcher roles qualify for EB-2 or EB-3 green card sponsorship?
Both categories apply depending on the role's requirements and your credentials. EB-2 covers positions that require an advanced degree, such as a master's or PhD, which most senior research roles specify. EB-3 covers professionals with a bachelor's degree as the stated minimum. Your employer's PERM application must advertise the role at the degree level that actually matches the job duties.
How does green card sponsorship differ from H-1B for a researcher?
The H-1B is a temporary status requiring renewal every three years with no guarantee of continued authorization. PERM-based green card sponsorship leads to permanent residency with no annual renewal. There's no lottery for EB-2 or EB-3, and for most nationalities outside India and China, priority dates are current at the EB-3 level, meaning the process moves on the USCIS adjudication timeline rather than a visa-backlog queue.
What is the PERM labor certification process for a Senior Researcher position?
PERM requires your employer to conduct a DOL-supervised recruitment campaign demonstrating no qualified U.S. worker is available for the role. For research positions, this typically includes posting the role in specific academic and professional venues. After DOL certifies the application, your employer files the I-140 immigrant petition with USCIS. Current PERM processing at DOL runs several months for clean applications.
Can I change research employers after my green card is filed?
Once your I-140 is approved and your priority date is current, portability rules under AC21 allow you to move to a same or similar research role without restarting the process, provided your I-485 adjustment of status has been pending for 180 days or more. Changing employers before the I-140 is approved generally requires your new employer to start PERM from the beginning.
How do I find Senior Researcher jobs with green card sponsorship?
Use Migrate Mate to filter Senior Researcher listings by employers with EB-2 and EB-3 sponsorship history. Targeting institutions that have filed PERM before means they understand the DOL recruitment requirements and prevailing-wage obligations. That makes the offer-to-filing process significantly more predictable than approaching employers who have never sponsored a foreign researcher.
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