NVIDIA 2026 Internships: Mixed Signal Design and Digital Circuit Design - US

Reposted 2 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
20-71
Internship
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
NVIDIA seeks interns for Mixed Signal and Digital Circuit Design roles, offering hands-on experience in electrical engineering technologies through impactful projects.
Summary Generated by Built In

By submitting your resume, you’re expressing interest in one of our 2026 Mixed Signal Design and Digital Circuit Design Internships. 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 minimum full-time internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field. 

 

Potential Internships in this field include:   

Mixed Signal Design 

  • Analog Fundamentals, Analog Simulation (Noise Analysis, Loop Stability Analysis, AC/DC/Transient Analysis, Monte-Carlo, etc.) 

  • Layout and Physical Design Fundamentals 

  • CMOS Analog Circuit Design (especially in FinFET), High-Speed Circuit Design, Serial Communication Standards (PLL, DAC (Digital-to-Analog Converters), ADC (Analog-to-Digital Converters), and Bandgaps) 

  • Lab Testing Equipment (Oscilloscopes, Spectrum Analyzers) 

Digital Circuit Design  

  • Digital Circuit Design and Device Fundamentals, Place and Route Design Tools, Datapath Tiling Techniques, SPICE Simulations  

  • Experience with crafting Flip Flops, Level Shifters, Math Cells, Register Files, etc.    

  • Automation Methods, Algorithm and Power Distribution, Power Management Circuits/Solutions 

  • EDA Tools (Cadence, Synopsys) 

What we need to see:  

Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship.   

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, CMOS, FinFET, Cadence, Synopsys  

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. NVIDIA is committed to fostering a diverse 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.

Top Skills

Cadence
Cmos
Finfet
Hspice
Perl
Python
Spice
Synopsys
Systemverilog
Verilog
Vhdl
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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