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Internship Nvidia Robotics Jobs (NOW HIRING)

MOBY Robotics

Autonomy & Software Engineer

Miami, FL · On-site

... internship, or substantial research/project work) * Solid understanding of core software ... Experience with underwater robotics (AUVs, ROVs) or marine/subsea systems Experience with NVIDIA ...

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Internship Nvidia Robotics information

What types of projects do interns typically work on during a Robotics internship at Nvidia?

As a Robotics intern at Nvidia, you'll usually be assigned to real-world projects that contribute directly to the company's robotics initiatives, such as developing algorithms for autonomous systems, enhancing simulation environments, or testing robotics software on physical platforms. Interns often collaborate with experienced engineers and researchers, gaining hands-on experience with state-of-the-art hardware and AI frameworks. The projects are structured to provide both learning opportunities and meaningful contributions, allowing interns to develop technical skills while understanding industry workflows.

What is the difference between Internship Nvidia Robotics vs Robotics Engineer?

AspectInternship Nvidia RoboticsRobotics Engineer
Required CredentialsEnrolled in a related degree program, basic technical skillsBachelor's or Master's in Robotics, Electrical, or Mechanical Engineering
Work EnvironmentInternship program at Nvidia, collaborative, research-focusedFull-time role in robotics development, engineering teams
Employer & Industry UsageNvidia, technology and AI industryVarious companies in robotics, automation, manufacturing
Common Search & Comparison IntentLearning about entry-level opportunities in Nvidia RoboticsUnderstanding career progression in robotics engineering

Internship Nvidia Robotics provides students with hands-on experience in Nvidia's robotics projects, focusing on learning and skill development. Robotics Engineer roles are full-time positions requiring advanced education and experience, involving designing, developing, and maintaining robotic systems. While internships are ideal for gaining industry exposure, engineering roles offer long-term career growth in robotics development.

What are Internship Nvidia Robotics positions?

Internship Nvidia Robotics positions are temporary roles offered by Nvidia for students or recent graduates interested in robotics and artificial intelligence. These internships provide hands-on experience working with cutting-edge robotics technology, including autonomous machines, computer vision, and machine learning. Interns collaborate with experienced engineers and researchers to solve real-world problems, contribute to ongoing projects, and sometimes publish research. The roles are ideal for those pursuing degrees in computer science, robotics, electrical engineering, or related fields, and offer exposure to Nvidia's unique tools and platforms.

What are the key skills and qualifications needed to thrive as an Internship Nvidia Robotics, and why are they important?

To thrive as an intern in Nvidia Robotics, you need a solid background in computer science, robotics, or engineering, with proficiency in programming languages like Python or C++. Familiarity with robotics frameworks (e.g., ROS), simulation tools, and version control systems, as well as coursework or certifications in AI or machine learning, are highly valued. Strong problem-solving skills, teamwork, and adaptability help you excel in collaborative and fast-evolving project environments. These competencies are crucial for contributing effectively to innovative robotics projects and gaining hands-on experience in an industry-leading technology company.
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Infographic showing various Internship Nvidia Robotics job openings in the United States as of June 2026, with employment types broken down into 5% Internship, 73% Full Time, 20% Part Time, and 2% Contract. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution.
Software Engineering Intern, JAX - Fall 2026

Software Engineering Intern, JAX - Fall 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 4 days ago

Job description

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
Join our team in developing sophisticated performance optimizations for deep learning frameworks using JAX, a powerful tool that combines automatic differentiation with XLA for high-performance machine learning research. We are committed to creating a fast, modular, and coordinated platform for a wide range of deep learning solutions. Together, we will push the boundaries of AI and scientific computing to new frontiers! If you're a skilled programmer with a knack for elegant design and a passion for developing customer-facing solutions, this is your opportunity to make a lasting impact on our groundbreaking work. We're looking for highly motivated individuals with excellent verbal and written communication skills who are ready to tackle complex challenges in AI and scientific computing.
What You Will Be Doing:
  • Make meaningful contributions to JAX by designing and implementing core components that drive phenomenal performance on the NVIDIA AI platform.
  • Increase the efficiency of teams developing JAX-based systems by develop tools that streamline the application of deep learning research and simulations to real-world products.

What We Need To See:
  • Pursuing a MS or PhD in Computer Science, Computer Engineering or equivalent program area.
  • Understanding of JAX, Autograd, tracing, code generation and DSL compilers
  • Working proficiency in Python, familiarity with C++,
  • Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn)

Ways To Stand Out From The Crowd:
  • Familiar with distributed systems, services, or Deep Learning at large scale
  • Ability to work optimally with multi-functional teams
  • Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design

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. If you're creative and autonomous, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until April 28, 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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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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