PhD Research Intern
NVIDIA
PhD Research Intern
NVIDIA
Designs the chips and software that power AI
NVIDIA Research is seeking PhD-level students to work as research interns and drive groundbreaking research at the intersection of AI, GPU computing, Formal Methods, and Electronic Design Automation (EDA). AI and GPU acceleration are transforming chip design, and this role offers the opportunity to shape that future. In this internship, you will gain a broad perspective across areas including EDA algorithms, agentic AI, LLMs, and GPU computing. Specific areas of research interest include but are not limited to GPU-accelerated optimization algorithms, physical design algorithms, formal methods, agentic AI, and reinforcement learning techniques.
What You’ll Be Doing:
What We Need To See:
Widely considered to be one of the technology world’s most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, 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 rate for this position is 38 USD – 94 USD.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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