N

NVIDIA

Designs the chips and software that power AI

Hardware ASIC Design Intern

Silicon & ASIC DesignConfirmed live in the last 24 hours
Internship$20 - $71 /hrIn-person

About the Job

Requirements

  • Must be actively enrolled at a university for the full duration of the internship while pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.
  • The anticipated graduation month and year must be clearly indicated on the resume or CV.
  • Coursework or internship experience related to RTL design and HDL, digital systems, digital design, VLSI design, chip blueprint, timing and static timing analysis, synthesis, power and performance optimization, testbench creation, or gate-level netlists could be required.
  • Coursework or internship experience related to computer architecture, computer arithmetic, object-oriented programming, functional coverage, CMOS transistors, circuits, system-on-chip, or SRAM design could be required.
  • Coursework or internship experience related to architectural tradeoff analysis, power and noise analysis, or silicon instrumentation and measurement could be required.
  • Coursework or internship experience related to CAD and physical design methodologies, including flow and tools development, floorplanning, power and clock distribution, packaging, place and route, and timing closure, could be required.
  • Coursework or internship experience related to performance, verification, and emulation methodologies could be required.
  • Depending on the internship role, prior experience or knowledge of SystemVerilog, Verilog, VHDL, UVM, Perl, Tcl, C, C++, Python, Linux, or testbench tools could be required.

Responsibilities

  • Work on projects with a measurable impact on the business during the 12-week full-time internship.
  • Gain hands-on experience with a Hardware team.

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

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs