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Explore circuit design approaches for optimizing processor performance and power, designing and implementing prototypes while collaborating with researchers and product teams. Requires a PhD in Electrical Engineering, Computer Science, or related field, with power delivery research experience and depth in high-performance circuit design areas like power delivery, clocking, or high-speed signaling. Compensation is $38–$94 per hour based on location, experience, and year in school.

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Job Description

We are now looking for a PhD Research Interns for our Circuits team. Advanced circuit design is critically important in the post-Moore’s Law age. Without the ability to scale process to increase performance and reduce power, we must rely more and more on creative architectural and underlying circuit solutions to provide continuing advancement from generation to generation.


NVIDIA Research is seeking world-class circuit researchers to contribute to the exploration of future high-performance, low-power circuit technologies and development of prototype circuits. If you have a strong circuits background, desire to collaborate with elite researchers on critical problems, and a vision about how to advance the state-of-the-art, the team will be a great fit for you. NVIDIA has an ambitious circuit research agenda that involves taking circuit technology to the next level. This position offers an opportunity to have a real impact in a fast-moving technology-focused company.


What you’ll be doing:

  • Explore circuit approaches to optimizing processor computation and interconnect performance and power.
  • Design and implement circuit approaches in prototype systems.
  • Collaborate with other researchers and a diverse set of internal product teams across research and product roles.
  • Transfer technology to product groups.

What we need to see:

  • Pursuing a PhD in Electrical Engineering, Computer Science/Engineering, or related field.
  • We are looking for candidates with power delivery research experience with focus on one of the following areas:
    • Novel Digital and Analog control architectures for fast transient response of power converters
    • EMI analysis and mitigation technique
    • Power supply Design and Analysis for applications with low failure rate
       
  • Excellent knowledge and broad background of theory and practice of circuit design.
  • Depth in one or more areas of high-performance circuit design (PLLs and clocking, SerDes and high-speed signaling, photonics, SRAMs, power delivery/regulation, security circuits, and high-speed logic).
  • Track record of research excellence or significant product development.
  • Excellent communication and collaboration skills.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

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 38 USD - 94 USD.


You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until September 17, 2026.

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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  • Role PhD Research Intern, Circuits - 2027
  • Experience No experience yet
  • Education Any
  • Work type On-site
  • Location United States
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NVIDIA
Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States

NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.

All jobs at NVIDIA
Job Overview
Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
3 days ago
Job Type
Intern
Education
Any
Experience
No experience yet

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