PhD Research Intern: AI Hardware & Systems Architecture

NVIDIA AI

Santa Clara (CA)

On-site

USD 52,000 - 129,000

Full time

2 days ago
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Benefits offered by this job

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Job summary

NVIDIA Research is seeking a PhD candidate in relevant disciplines to conduct cutting-edge research in algorithms, hardware, and system software for next-generation GPU systems. You will invent techniques, develop prototypes and publish results, with opportunities to influence product directions 5–10 years out.

Ideal candidates pursue a PhD and have 1+ year of research in computer architecture or AI/ML systems, strong C/C++/Python skills, and a passion for learning AI tools for software design

Qualifications

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

Responsibilities

  • Conduct cutting edge research on algorithms, hardware, and system software extending the state of the art.
  • Invent new techniques, technologies, methodologies, processes, and devices enabling new products.
  • Develop new methods for research evaluation including agentic techniques, simulation, modeling, and benchmarking.
  • Produce technology vision and the basis for products 5–10 years out.

Skills

C
C++
Python

Education

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

Job description

NVIDIA Research is seeking a PhD candidate in relevant disciplines to conduct cutting-edge research in algorithms, hardware, and system software for next-generation GPU systems. You will invent techniques, develop prototypes and publish results, with opportunities to influence product directions 5–10 years out.

Ideal candidates pursue a PhD and have 1+ year of research in computer architecture or AI/ML systems, strong C/C++/Python skills, and a passion for learning AI tools for software design

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