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NVIDIA

Designs the chips and software that power AI

Hardware Engineering Intern

Hardware Validation & TestingConfirmed live in the last 24 hours
Internship · Summer 2027$20 - $71 /hrIn-person

About the Job

Requirements

  • Must be actively enrolled in a university pursuing a Bachelor of Science, Master of Science, or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field for the full duration of the internship.
  • The anticipated graduation date, including month and year, must be clearly indicated on the resume or CV.
  • Depending on the internship role, prior experience or knowledge may be needed in Verilog, SystemVerilog, VHDL, Perl, Python, TCL, board-level design, printed circuit boards, datacenter systems, Linux, CAD software, MATLAB, MOSFETs, or lab tools such as oscilloscopes, multimeters, and logic analyzers.
  • For mechanical engineering internships, candidates must demonstrate a strong academic background in Mechanical Engineering.

Responsibilities

  • During the 12-week full-time internship, work on projects with measurable impact on the business.
  • For System Validation, maintain a close relationship with Architecture, Hardware, and Software Design teams to test and debug new features and changes during product development.
  • For Hardware Design, perform hardware testing, debugging, and validation of new products to ensure performance, functional, and quality objectives are met.
  • For Mechanical Engineering, research and develop new concepts and materials for next-generation products as part of a multifunctional team.
  • For Silicon Solutions, productize NVIDIA chips into consumer, professional, server, mobile, and automotive solutions.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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