PhD Research Intern
NVIDIA
PhD Research Intern
NVIDIA
Designs the chips and software that power AI
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.
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), advanced packaging technologies, or thermal analysis/design.
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 expected hourly rates for this position are:You will also be eligible for Internbenefits.
Applications for this job will be accepted at least until November 3, 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.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.
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