NVIDIA 2026 Internships: Autonomous Vehicles and Robotics at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Autonomous Vehicles, RoboticsIndustries

Requirements

Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship
Strategic, ambitious, hard-working, and creative individuals passionate about tackling challenges in Autonomous Vehicles and Robotics
Depending on the internship role, prior experience or knowledge in programming skills and technologies such as: C, C++, CUDA, ROS, Python, OpenGL, Linux, Sensor Input Devices (LiDAR, cameras, radars), Training Frameworks (TensorFlow, Keras, PyTorch)
For Autonomous Vehicles roles: Course or internship experience in Computer Vision, Mapping, Localization, SLAM, Image Processing, Segmentation
For Robotics roles: Course or internship experience in Robotics, Autonomous Vehicles, Validation Frameworks for Deep Learning, Operating Systems and Data Structures (threads, processes, memory, synchronization), Physics Simulation, Simulators, Computer Graphics, Version Control, Computer Vision, Cloud Technologies

Responsibilities

Work on 12-week full-time internship projects with measurable impact on NVIDIA's Autonomous Vehicles and Robotics business
For Autonomous Vehicles: Develop and train state-of-the-art Deep Neural Networks for path generation; collect training datasets and real-time inference run-times using simulators/gyms as well as perform in-vehicle tests
For Robotics: Build fundamental infrastructure and software platforms for the system, working at the heart of the software system to power every robot and application built with Isaac

Skills

Key technologies and capabilities for this role

Deep Neural NetworksComputer VisionMappingLocalizationSLAMImage ProcessingSegmentationRoboticsAutonomous VehiclesDeep LearningOperating Systems

Questions & Answers

Common questions about this position

What is the duration and type of the NVIDIA 2026 internships?

The internships are 12-week full-time programs.

What is the compensation for these internships?

The internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience.

What programming skills and technologies are required?

Depending on the role, prior experience or knowledge in C, C++, CUDA, ROS, Python, OpenGL, Linux, Sensor Input Devices (LiDAR, cameras, radars), and Training Frameworks (TensorFlow, Keras, PyTorch) may be required.

What education is required for these internships?

Candidates must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field for the entire duration of the internship.

What qualities make a strong candidate for these internships?

NVIDIA seeks strategic, ambitious, hard-working, and creative individuals who are passionate about tackling challenges in Autonomous Vehicles and Robotics.

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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