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NVIDIA 2027 Internships: Digital Circuit Design

NVIDIA Corporation

US, CA, Santa ClaraRTL / HDLPhysical designPosted Aug 19, 2026
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Skills named in this posting

  • SystemVerilog
  • Verilog
  • VHDL
  • Place and route
  • SerDes
  • Python
  • Perl
By submitting your resume, you acknowledge that your Digital Circuit Design internship application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service. 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 experience 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 12-week full-time internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field. What we need to see: • 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. Course or internship experience related to the following areas could be required: • 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 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. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. ​ Applications are accepted on an ongoing basis. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

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Original posting: jobs.nvidia.com

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RISC-V ecosystem

NVIDIA Corporation in the RISC-V ecosystem

RISC-V International: Premier Board

Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.

  • NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
  • Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
  • Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage

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