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Research Scientist, Robotics – New College Grad 2025

Nvidia Usa
Full-time
On-site
Seattle, Washington, United States
$0 - $253,000 USD yearly

We are now looking for a Research Scientist, Robotics! Intelligent machines powered by Artificial Intelligence that can learn, reason, and interact with people are no longer science fiction. An AI-powered robot can build 3D maps of its environment, detect and track real-life objects, learn from simulated environments, and understand language commands. This is truly an extraordinary time — the era of AI has begun. The NVIDIA Robotics Research Lab operating in Seattle, Washington, and Santa Clara, California, is looking for world-class Research Scientists in robotics.

The Robotics Research Lab is passionate about enabling robots to reach human-level dexterity, perception, and adaptability. We are a diverse and interdisciplinary team to work on core robotics topics ranging from control and perception to task planning and critical areas related to Sim2Real and large vision-language-action models.

What you'll be doing:

The lab focuses on fundamental research questions in robotics, and lab members are encouraged to publish their research and open source their code. The lab hosts numerous internships every year to foster education and communication, and the team collaborates broadly with institutions outside of NVIDIA, both academic and industrial. NVIDIA is well known for its team culture, and lab researchers are able to closely interact with others within the company who are experts in broad subtopics such as computer vision, computer graphics, GPU computing, AI and Deep Learning, self-driving cars, and physics-based simulation.

The following research areas are of particular interest:

Dexterous, bi-manual, and mobile robot manipulation, robot control and learning, 3D representation learning, and foundation vision language action models.

What we need to see:

  • Completing or recently completed PhD in Robotics, Computer Science, Engineering or related field (or equivalent experience)

  • 3+ years of relevant research or work experience in one of the above mentioned focus areas.

  • Knowledge of theory and practice of robotics, or a related area with a strong interest in connecting your work to robotics scenarios.

  • A track record of research excellence with your work published in top conferences and journals such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI).

  • Exceptional programming skills in Python, PyTorch, or JAX. Fluency in C/C++; CUDA and robotics frameworks such as ROS is a plus.

  • Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research focused team. A demonstrated history of mentoring junior engineers and interns is a huge plus.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you! With competitive salaries and a generous benefits package, 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 and, due to unprecedented growth, our best-in-class research teams are rapidly growing.

The base salary range is 160,000 USD - 253,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.