Phd Research Intern
Design Automation, Summer 2024
Confirmed live in the last 24 hours
NVIDIA

10,001+ employees

Designer & manufacturer of computer chips & graphics processors
Company Overview
NVIDIA is on a mission to solve the world's most stimulating technology problems – in industries ranging from gaming to scientific exploration.
AI & Machine Learning

Company Stage

N/A

Total Funding

$4.2B

Founded

1993

Headquarters

Santa Clara, California

Growth & Insights
Headcount

6 month growth

5%

1 year growth

0%

2 year growth

15%
Locations
Austin, TX, USA • Santa Clara, CA, USA
Experience Level
Intern
Desired Skills
Python
CUDA
Data Structures & Algorithms
Pytorch
CategoriesNew
Lab & Research
AI & Machine Learning
Requirements
  • Pursuing a PhD in Electrical Engineering, Computer Engineering, or related field
  • Publication record in leading EDA or ML conferences on DL for EDA or GPU accelerated EDA
  • Strong knowledge in one or more EDA/VLSI fields and deep learning
  • Excellent programming skills in two of Python/PyTorch/C++/CUDA
  • Ability to work independently
Responsibilities
  • Apply deep learning and GPU acceleration to EDA software and ASIC and VLSI design tool flows
  • Research and develop creative and innovative EDA software and algorithms
  • Collaborate with circuits, VLSI, and architecture team members in research and product teams
  • Publish and present your original research, speak at conferences and eventsCollaborate with external researchers and a diverse set of internal product teams
Desired Qualifications
  • Strong publication records