This role pays more than
59%
of similar roles. Most pay
$170,875–$246,150
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$209k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
855 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 843 roles with salary data.
NVIDIA Research seeks a new college grad PhD researcher to join its cutting-edge team focused on AI hardware-software co-design, AI hardware accelerator architecture, and VLSI design methodology. This role involves advancing the state-of-the-art in AI accelerator design through novel research, developing innovative ASIC and VLSI techniques, and applying machine learning and generative AI to automated tool flows for chip design. The researcher will collaborate on prototype testchips, work closely with AI researchers and hardware teams, and publish findings at conferences. Ideal candidates hold a PhD in Computer Science or Electrical/Computer Engineering with expertise in VLSI implementation using modern EDA tools, proficiency in Python, PyTorch, C++, SystemVerilog, or CUDA, and a track record of publications in top circuit, architecture, and AI venues.
Python
PyTorch
C++
SystemVerilog
CUDA
VLSI
EDA
ASIC
Digital VLSI Circuits
Machine Learning
Generative AI
Computer Architecture
Numerical Algorithms
AI Model HW/SW Co-Design
C++
Python
ICCAD tools
Innovus
Computational geometry
Graph theory
Algorithm development
Multithreading
Distributed computing
High performance software design
GUI development
Machine learning
VLSI Physical Design