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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.
What you'd do
- Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
- Digital Circuit Design and Device Fundamentals, Place and Route Design Tools, Datapath Tiling Techniques, SPICE Simulations
- CMOS Logic Design and Transistor-Level Circuits, Timing and Delay Analysis, Standard Cell Design and Libraries (inverters, NAND, flip-flops, etc.), Memory and Array Design (SRAM), Power and Leakage Optimization, Simulation and Characterization
- Experience crafting Flip Flops, Level Shifters, Math Cells, Register Files, etc.
- Automation Methods, Algorithm and Power Distribution, Power Management Circuits/Solutions
- Circuit Design, Advanced Digital Systems, Operating Systems, Object-Oriented Programming, EDA Tools (Cadence, Synopsys)
- Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Verilog, SystemVerilog, VHDL, Perl, Python, SPICE/HSPICE, Monte Carlo, CMOS, FinFET, EDA Tools (Synopsys, Cadence, etc.), SerDes
- Starts
- 2026-08-19