PhD Research Intern: AI Hardware & Systems Architecture

NVIDIA Corporation; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Research seeks a PhD candidate for internship research across algorithms, hardware, and system software related to GPU architectures and AI systems. You will prototype, simulate, and benchmark ideas, with the goal of publishing results and contributing to next‑gen products.

You will work on extending state-of-the-art in deep learning, robotics, and AI/ML systems, collaborating with engineers and researchers worldwide.

Qualifications

• Pursuing PhD in CS/CE/EE/Physics or Math.
• At least one year of university or industrial research in computer architecture or computer systems.
• Strong programming ability: C, C++ and Python.
• Eagerness to learn and use AI tools for software development and system design.
• Experience prototyping, simulation, modeling, or experimentation to evaluate research ideas.
• Strong ability to communicate research ideas, methods, and results clearly.

Responsibilities

• Conduct cutting-edge research on algorithms, hardware, and system software for next-gen GPU systems.
• Invent techniques and devices that enable new products or improvements; deliver prototypes, patents, and publications.
• Develop methods for research evaluation including simulation and benchmarking.
• Produce technology visions for 5–10 years out and assess applicability to NVIDIA products.

Skills

C programming

C++ programming

Python programming

Research experience

Communication of research ideas

Education

Pursuing PhD in CS/CE/EE/Physics/Math

Job description

NVIDIA Research seeks a PhD candidate for internship research across algorithms, hardware, and system software related to GPU architectures and AI systems. You will prototype, simulate, and benchmark ideas, with the goal of publishing results and contributing to next‑gen products.

You will work on extending state-of-the-art in deep learning, robotics, and AI/ML systems, collaborating with engineers and researchers worldwide.