NVIDIA 2025 Internships: Hardware Physical Design / VLSI

Posted 13 Days Ago
Be an Early Applicant
2 Locations
Remote
Internship
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Interns will work on impactful projects within NVIDIA's Hardware teams, focusing on areas like VLSI, circuit design, and physical design methodologies. The internship involves hands-on experience with industry-leading tools and technologies, contributing to real advancements in technology.
Summary Generated by Built In

By submitting your resume, you’re expressing interest in one of our 2025 Hardware Physical Design / VLSI 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 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 minimum 12-week 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: 

  • Currently pursuing a Bachelor's, Master's, or PhD degree within Electrical Engineering, Computer Engineering, or a related field  

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

  • Synthesis, Static Timing Analysis, Clock/Power Distribution and Analysis, RC Extraction and Correlation, Place and Route, Circuit Design  

  • VLSI, Computer Architecture, Digital/Micro Electronics, Mixed-Signal Design, Digital Design, Logic Design  

  • CAD and Physical Design Methodologies (flow and tools development), as well as implementation 

  • Chip Floor Plan, Power/Clock Distribution, Chip Assembly and P&R, Timing Closure, Power and Noise Analysis, and Back-End Verification  

  • EDA Vendor (Synopsys, Cadence, Mentor, etc.) tool suites such as: ICC2, PrimeTime, dc_shell, Innovus, SeaHawk 

  • Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies 

  • Perl, C, C++, TCL, SPICE, Linux, Verilog, SKILL, Make, ICC2, Design Compiler, PrimeTime (Synopsys, First Encounter), Innovus, Virtuso (Cadence)   

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. 

The hourly rate for our interns is 18 USD - 71 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

You will also be eligible for Intern benefits. NVIDIA accepts applications 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
Spice
Tcl
Verilog
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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