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Nvidia Software Intern Jobs (NOW HIRING)

FlexAI

Software Engineering Intern

San Jose, CA · On-site

Founded by Brijesh Tripathi, who bring experience from Nvidia, Apple, Tesla, Intel and Zoox, FlexAI ... Role Overview We're looking for a Software Engineering Intern with an interest in distributed ...

Nvidia

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GPU-accelerated simulation experiencewith cuQuantum, CUDA-Q, or related NVIDIA quantum software. * Familiaritywith classical machine learning methods. * A track record of publicationsin premier ...

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Nvidia Software Intern information

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How much do nvidia software intern jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for nvidia software intern in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What does an Nvidia Software Intern do?

An Nvidia Software Intern works alongside experienced engineers to develop, test, and optimize software solutions for Nvidia's products and technologies. Interns are often involved in projects related to graphics processing, artificial intelligence, or driver development. They may write code, contribute to debugging sessions, and help improve the performance or reliability of Nvidia's software offerings. The internship provides valuable hands-on experience, exposure to cutting-edge technology, and opportunities to collaborate with teams across the company.

What types of projects and technologies do Nvidia Software Interns typically work on during their internship?

As a Software Intern at Nvidia, you'll often have the opportunity to work on projects involving graphics processing, artificial intelligence, machine learning, or drivers and tools for hardware products. Interns typically collaborate with experienced engineers in small, agile teams, contributing code, testing new features, and participating in code reviews. The work environment is fast-paced and intellectually stimulating, offering hands-on exposure to leading-edge technologies. Interns are encouraged to share ideas, ask questions, and take ownership of meaningful tasks, often resulting in deliverables that impact real-world products.

What is the difference between Nvidia Software Intern vs Nvidia Software Engineer?

AspectNvidia Software InternNvidia Software Engineer
Required CredentialsTypically pursuing or recently completed a Bachelor's or Master's in Computer Science or related fieldBachelor's or higher in Computer Science or related field, often with 1+ years of experience
Work EnvironmentInternship program, collaborative team projects, learning-focusedFull-time role, responsible for developing and maintaining software products
Employer & Industry UsagePart of Nvidia's internship program, industry-specific for graphics, AI, and computingCore team member, involved in product development within Nvidia's tech divisions

The Nvidia Software Intern role is an entry-level, learning-focused position for students or recent graduates, while the Nvidia Software Engineer is a full-time professional role requiring more experience and responsibility. Interns gain hands-on experience, whereas engineers contribute directly to Nvidia's software products and solutions.

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

To thrive as an Nvidia Software Intern, you need a solid foundation in computer science fundamentals, programming skills (especially in C++ or Python), and enrollment in a relevant degree program such as computer science or engineering. Familiarity with version control systems like Git, experience with Linux environments, and knowledge of GPU programming or CUDA are commonly required. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help you stand out in this role. These qualifications and skills are crucial for contributing to innovative projects, collaborating with senior engineers, and quickly adapting to new technologies at Nvidia.
Infographic showing various Nvidia Software Intern job openings in the United States as of June 2026, with employment types broken down into 9% Internship, 3% As Needed, 8% Full Time, and 80% Part Time. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.
Software Engineering Intern, JAX - Fall 2026

Software Engineering Intern, JAX - Fall 2026

Nvidia

Santa Clara, CA

Full-time

Posted 16 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 Internbenefits.

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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