IN_Senior Associate_Data Scientist _D&A_Advisory_Hyderabad
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NVIDIA
InternNVIDIA 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 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 27, 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.Here is what this employer asked for. Sign in and we will fill in your half.
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.
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