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$34

How much do nvidia internships jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for nvidia internships in the United States is $19.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.63 per hour, depending on experience, location, and employer.

How to get an internship at NVIDIA?

To secure an internship at NVIDIA, applicants should have strong technical skills in areas like programming, machine learning, or hardware design, and typically need to be enrolled in a relevant degree program. Applying through the NVIDIA careers website, preparing a tailored resume, and demonstrating relevant projects or experience can improve chances. Internships are competitive and often require a good academic record and proficiency in tools such as CUDA or deep learning frameworks.

What is the difference between Nvidia Internships vs Nvidia Co-op Programs?

AspectNvidia InternshipsNvidia Co-op Programs
DurationTypically 10-12 weeks during summerUsually semester-long, 4-6 months
Work EnvironmentFull-time, project-basedPart-time, integrated with academic schedule
EligibilityUndergraduate or graduate studentsStudents enrolled in a co-op program or academic institution
Application ProcessOnline application, interviews, coding assessmentsApplication through university co-op office, interviews

Both Nvidia Internships and Nvidia Co-op Programs offer valuable industry experience, but internships are typically shorter, full-time summer roles, while co-op programs are longer, part-time roles integrated with academic schedules. Internships are ideal for students seeking quick industry exposure, whereas co-ops suit those combining work with ongoing studies.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships are highly competitive, often require strong academic performance, and provide experience in auditing, consulting, tax, and advisory services.

What types of projects do Nvidia interns typically work on, and how much autonomy do they have during their internship?

Nvidia interns are often assigned to real-world projects that directly contribute to the company’s products, such as developing software tools, optimizing AI models, or supporting hardware design. Interns usually work within small, specialized teams and receive mentorship from experienced engineers and researchers. While guidance is provided, interns are encouraged to take initiative, propose solutions, and manage their own tasks, fostering both independence and professional growth. Regular check-ins and collaborative meetings help interns integrate with their teams and gain valuable industry experience.

How much do NVIDIA interns get paid?

NVIDIA interns typically receive a competitive hourly or monthly stipend that varies by location, role, and experience level. Intern salaries at NVIDIA generally range from $4,000 to $8,000 per month for summer internships, with some positions offering additional benefits such as housing stipends or transportation allowances. Compensation is often aligned with industry standards for tech internships and may include opportunities for skill development and networking.

How hard is it to get an internship at NVIDIA?

Getting an internship at NVIDIA is competitive, with applicants often needing strong technical skills in areas like programming, machine learning, or hardware design, along with relevant coursework or projects. The selection process typically involves multiple interview rounds assessing technical knowledge and problem-solving abilities.

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

To thrive as an Nvidia Intern, you generally need a strong academic background in computer science, engineering, or a related field, along with proficiency in programming languages like C++, Python, or CUDA. Familiarity with tools such as Git, Linux, and relevant development environments, as well as coursework or certifications in machine learning or graphics, is often expected. Initiative, teamwork, and effective communication are standout soft skills that help you learn quickly and contribute to projects. These abilities are crucial for making an immediate impact, adapting to challenging tasks, and collaborating within Nvidia's innovative and fast-paced environment.

What are Nvidia internships?

Nvidia internships are temporary positions offered to students and recent graduates, giving them the opportunity to work on real-world projects at Nvidia, a leading technology company known for its work in graphics processing units (GPUs), AI, and computing. Interns gain hands-on experience, mentorship from industry experts, and exposure to cutting-edge technology. These internships are typically available in areas such as engineering, software development, research, business, and marketing. Participants can work at Nvidia offices worldwide and may also benefit from networking events, workshops, and career development resources. Successful internships can often lead to full-time employment opportunities at Nvidia.
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What states have the most Nvidia Internships jobs? States with the most job openings for Nvidia Internships jobs include:
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Nvidia Internships jobs near you
Infographic showing various Nvidia Internships job openings in the United States as of July 2026, with employment types broken down into 15% Internship, 1% As Needed, 63% Full Time, 17% Part Time, 3% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $40,232 per year, or $19.3 per hour.
Manager, Solution Engineering for NVIDIA Experience

Manager, Solution Engineering for NVIDIA Experience

NVIDIA

Santa Clara, CA • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:
NVIDIA is looking for an experienced manager to lead a solution engineering team focused on customer support of NVIDIA software products. The role involves applying AI technologies to resolve customer issues, mentoring engineers, and driving projects to enhance customer satisfaction.
Responsibilities:
• Provide direct support to our NVIDIA Enterprise customers to resolve or advance customer issues.
• Work with engineering teams on customer issues, providing logs, reproduction, and other triage information.
• Apply AI to create/update product and/or support tools.
• Take ownership and drive customer issues from inception to resolution.
• Document customer interactions to better enhance our knowledge base.
• 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.
Qualifications:
Required:
• Minimum of a BS in Computer Science, Electrical Engineering, or equivalent experience.
• At least 5 overall years of software engineering experience.
• At least 2+ years of management experience.
• Excellent leadership skills.
• AI/ML expertise.
• 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.
Preferred:
• Software engineering management experience
• Customer support management experience
• Technical expertise in technologies related to NVIDIA AI Enterprise, Omniverse, vGPU
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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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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