NVIDIA 2026 Internships: Hardware ASIC Design - US

Reposted 16 Hours Ago
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Santa Clara, CA
In-Office
20-71
Internship
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
This internship at NVIDIA involves hands-on projects in Hardware ASIC Design, requiring students to apply their knowledge in various technical areas.
Summary Generated by Built In

By submitting your resume, you’re expressing interest in one of our 2026 Hardware ASIC Design Internships. 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-weekminimum full-time internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field. 

 

What we need to see: 

Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship.  

Course or internship experience related to the following areas could be required 

  • Digital Systems, Digital Design, VLSI Design, RTL Design, Chip Blueprint, Power and Performance Optimization, Testbench Creation 

  • Computer Architecture, Computer Arithmetic, Object-Oriented Programming, CMOS Transistors, Circuits, Infrastructure Development 

  • 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, Python, TCL, C, C++, Linux, Testbench Tools 

Click here to 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. 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.

Top Skills

C
C++
Linux
Perl
Python
Systemverilog
Tcl
Testbench Tools
Uvm
Verilog
Vhdl
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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