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How much do internship nvidia engineering jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship nvidia engineering in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Nvidia Engineering vs Software Engineering Intern?

AspectInternship Nvidia EngineeringSoftware Engineering Intern
Required CredentialsEnrolled in Computer Science or related field, strong programming skillsEnrolled in Computer Science or related field, coding proficiency
Work EnvironmentResearch labs, hardware and software development teams at NvidiaSoftware development teams, tech companies or startups
Employer & Industry UsageNvidia, semiconductor and AI industryTech companies, software firms, startups
Common Search & ComparisonInternship Nvidia Engineering vs Software Engineering Intern

Internship Nvidia Engineering focuses on hardware, AI, and graphics technology within Nvidia's innovative environment, while Software Engineering Internships are broader, covering various software development roles across multiple tech companies. Both require programming skills and relevant coursework, but Nvidia internships emphasize hardware-software integration and AI applications.

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Internship Nvidia Engineering jobs near you
Infographic showing various Internship Nvidia Engineering job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Director, Solution Engineering for NVIDIA Experience

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 3 hours ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

The NVIDIA Experience Team is seeking a highly technical Director Solution Engineering with a passion for engaging directly with end customers. In this role, you will work across NVIDIA's customer ecosystem, including CSPs, enterprises, and OEMs-to help deliver world-class support and services for AI server products powered by NVIDIA GPUs, CPUs, and networking technologies.

You will partner with leaders across NVIDIA to define priorities, drive execution, and collaborate closely with leading customers to maintain scalable, high-performance solutions that enable large-scale AI data center operations. The ideal candidate will excel at translating customer needs into robust solutions, while establishing and standardizing planning, reporting, and execution frameworks. You will define metrics, drive accountability, and lead cross-functional efforts to meet ambitious goals in a fast-paced, dynamic environment!

What you'll be doing:

  • Provide direct support to our NVIDIA customers to resolve or advance customer solutions and issues.

  • Drive RMA Operations excellence, CRM roadmaps, and interface with partners.

  • Develop and implement metrics to measure program effectiveness and identify areas for improvement; collect and analyze data to support planning and data-driven decisions.

  • Cultivate a culture of continuous improvement, finding opportunities for process enhancements

  • Participate in the creation, maintenance, and versioning of documentation related to enterprise support processes, procedures, and associated guidelines.

  • Apply agentic AI skills to create new standard processes, find ways to improve how the team works together and with other teams, lead teams and projects.

  • Mentor new engineers and interns. Nurture employees, so they can do their life's work.

What we need to see:

  • Minimum of a BS in Computer Science, Electrical Engineering, or equivalent experience.

  • 15+ overall years of hardware and/or software engineering experience.

  • 5+ years of management experience.

  • Demonstrated ability to engage and moderatesuccessful interactions with engineering partners, vendors, and customers.

  • Professional-level communication skills, including the ability to adjust communication to the technical level of the audience, and stay calm and focused in negative situations.

  • Excellent follow-up and organizational skills, with a passion or love for solving problems.

Ways to stand out from the crowd:

  • Background in computer science and GPU technology.

  • Prior experience in production application software development, server architecture, or creating AI Tools

  • Experience in working directly with customers

  • Proven track record in driving process improvements, measuring efficiency, sharing knowledge and experience in managing sophisticated projects from start to finish.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 292,000 USD - 442,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

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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