About the role#
This is a 12-week full-time internship focused on Hardware ASIC Design. You will join a hardware team to work on projects that directly impact the business. We review applications on a rolling basis throughout the year.
What you'll do#
- Collaborate with hardware teams on technical projects.
- Gain hands-on experience in the ASIC design lifecycle.
- Apply your knowledge to solve hardware engineering challenges.
What you'll need#
- Active enrollment in a B.S., M.S., or Ph.D. program in Electrical Engineering, Computer Engineering, or a related field.
- A resume or CV that clearly states your anticipated graduation month and year.
- Coursework or internship experience in areas such as RTL Design, Digital Systems, VLSI Design, and Chip Blueprint.
- Familiarity with relevant technical tools and programming languages, which may include SystemVerilog, Verilog, VHDL, C, C++, Python, Perl, or TCL.
Location & details#
- This role is based in Santa Clara, California.
- The position is on-site.
- This is a paid internship with a pay range of 20 USD to 71 USD per hour, depending on your year in school, degree, and experience.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
