NVIDIA 2026 Internships: Autonomous Vehicles and Robotics at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
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

Deep Neural Networks
Computer Vision
Mapping
Localization
SLAM
Image Processing
Segmentation
Robotics
Autonomous Vehicles
Deep Learning
Operating Systems

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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