NVIDIA 2026 Internships: PhD Robotics Research at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

RoboticsIndustries

Requirements

Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship
Programming skills and technologies: Python, C++, CUDA, Deep Learning Frameworks (PyTorch, JAX, Tensorflow, etc.), Physics Simulation Frameworks (Isaac Sim/Lab, MuJoCo, etc.)
Strong background in research with publications at top conferences
Excellent communication and collaboration skills
Research experience in at least one of the following areas: Robotic Manipulation and Control, Dexterous Manipulation, Humanoid Loco-Manipulation, Robot Kinematics, Dynamics, and Sensors, Perception and World Understanding, Robot Perception, Vision Language Action (VLA) Models, Robot Learning and Reasoning, Foundation Models for Robotics, Imitation and Reinforcement Learning, Simulation, sim-to-real, real-to-sim, Motion Planning and Navigation, Synthetic Data Generation
Experience with large-scale model training is a plus

Responsibilities

Work with experts in robotics and learn to define your research project
Design and implement novel robotics methods
Collaborate with other research team members and a diverse set of internal product teams
Transfer your research to product groups to enable new products or types of products
Deliverable results include prototypes, patents, products, and/or publishing original research

Skills

Key technologies and capabilities for this role

PythonC++CUDAPyTorchTensorFlowJAXIsaac SimMuJoCo

Questions & Answers

Common questions about this position

What is the hourly rate for the NVIDIA 2026 Robotics Research Internship?

The hourly rate for interns ranges from 30 USD to 94 USD, based on the position, location, year in school, degree, and experience.

Are interns eligible for benefits at NVIDIA?

Yes, interns are eligible for intern benefits.

What are the required skills and experience for this internship?

Candidates must be enrolled in a PhD program in Computer Science, Electrical Engineering, or related field, with programming skills in Python, C++, CUDA, Deep Learning Frameworks like PyTorch, and Physics Simulation Frameworks. A strong research background with publications at top conferences and excellent communication skills are required; experience in areas like Robotic Manipulation, Perception, or Robot Learning is needed.

Is this internship remote or does it require being on-site?

This information is not specified in the job description.

What makes a strong application for the NVIDIA Robotics Research Internship?

Strong candidates are actively pursuing a PhD, have a strong research background with publications at top conferences, proficiency in relevant programming and frameworks, and experience in robotics research areas like manipulation, perception, or learning. Excellent communication skills and passion for tackling challenging problems in robotics are key.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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