Research Scientist – New College Grad 2024
Design Automation
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

6%

1 year growth

0%

2 year growth

15%
Locations
Austin, TX, USA • Santa Clara, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Communications
Tensorflow
CUDA
Data Structures & Algorithms
Pytorch
CategoriesNew
Lab & Research
AI & Machine Learning
Requirements
  • Pursuing Ph.D in EE or related with a strong research record, well referenced publications and / or patents (or equivalent experience)
  • Strong background in EDA algorithms and software development, machine learning, along with knowledge of VLSI, circuits, IC design, and/or computer micro-architecture fundamentals
  • Experience with C, C++, Python, and scripting languages
  • Background with commonly used machine learning frameworks (PyTorch, Tensorflow)
  • Experience with CUDA and GPU computing
  • Strong communication skills needed. Being a creative and dynamic presenter is a huge advantage
Responsibilities
  • Apply machine 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 events
  • Collaborate with external researchers and a diverse set of internal product teams
Desired Qualifications
  • Ph.D in EE or related field
  • Experience in VLSI electronic design automation (EDA)
  • Experience in supervised learning, unsupervised learning, reinforcement learning, and GPU acceleration
  • Experience with machine learning frameworks (PyTorch, Tensorflow)
  • Experience with CUDA and GPU computing