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Internship Chip Jobs (NOW HIRING)

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Internship Chip information

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$9

$17

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How much do internship chip jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for internship chip in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Chip vs Data Analyst?

AspectInternship ChipData Analyst
Required CredentialsTypically pursuing or recent graduate, some technical skillsBachelor's degree in related field, some certifications
Work EnvironmentTemporary, learning-focused, entry-levelFull-time, professional setting, analytical tasks
Employer & Industry UsageInternships offered by tech, finance, marketing firmsCompanies across industries, including tech, finance, healthcare
Search & Comparison IntentLooking for entry-level, learning opportunitiesSeeking professional, ongoing data analysis roles

The main difference between Internship Chip and Data Analyst is that the internship is a temporary, learning-focused position for students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and skills. Internships serve as a stepping stone into the industry, whereas Data Analysts perform ongoing data interpretation and reporting tasks in a professional setting.

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What cities are hiring for Internship Chip jobs?

Cities with the most Internship Chip job openings:

What are the most commonly searched types of Chip jobs?

The most popular types of Chip jobs are:

What states have the most Internship Chip jobs?

States with the most job openings for Internship Chip jobs include:

Infographic showing various Internship Chip job openings in the United States as of September 2026, with employment types broken down into 14% Internship, 1% As Needed, 68% Full Time, 16% Part Time, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

NVIDIA 2027 Internships: Hardware ASIC Design

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Posted 25 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

By submitting your resume, you acknowledge that your Hardware ASIC Design internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Hardware teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.
What we need to see:
  • Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
  • Course or internship experience related to the following areas could be required:
  • RTL Design and HDL, Digital Systems, Digital Design, VLSI Design, RTL Design, Chip Blueprint, Timing and Static Timing Analysis (STA), Synthesis, Power and Performance Optimization, Testbench Creation, Gate-Level Netlist
  • Computer Architecture, Computer Arithmetic, Object-Oriented Programming, Functional Coverage, CMOS Transistors, Circuits, System-on-Chip (SoC), SRAM Design
  • Architectural Tradeoff Analysis, Power and Noise Analysis, Silicon Instrumentation and Measurement
  • CAD and Physical Design Methodologies (Flow and Tools Development), Chop Floorplan, Power/Clock Distribution, Packaging, P&R and Timing Closure
  • Performance, Verification, and Emulation Methodology
  • Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies:
  • SystemVerilog, Verilog, VHDL, UVM, Perl, TCL, C, C++, Python, Linux, Testbench Tools

Click hereto learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
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 are accepted on an ongoing basis.
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

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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