NVIDIA is hiring a Senior Research Scientist to join its cutting-edge team focusing on AI HW/SW Co-Design, AI Hardware Accelerator Architecture, IC Design Methodology, and VLSI Design. 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. The candidate will collaborate on prototype testchips, work closely with AI researchers and hardware teams, and publish original findings at conferences. Ideal candidates hold a PhD in Computer Science or Electrical/Computer Engineering with extensive post-PhD research experience, deep expertise in VLSI design methodologies, computer architecture, and numerical algorithms for AI model co-design, proficiency in modern EDA tool flows, and strong programming skills in Python, PyTorch, C++, SystemVerilog, or CUDA. Leadership, collaboration, and communication excellence are essential to drive impactful projects and mentor junior scientists.
Skills
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
What you'll do
Conduct novel research advancing AI accelerator design.
Develop innovative ASIC and VLSI design techniques using machine learning and generative AI.
Research numerical methods for quantization and tensor decomposition in digital VLSI circuits.
Design and develop prototype testchips for research purposes.
Publish and present original research at conferences and industry events.
What we're looking for
PhD in Computer Science, Electrical/Computer Engineering, or related field with 3+ years of post-PhD research experience.
Deep expertise in VLSI design methodologies, digital circuits, and AI model HW/SW co-design.
Proficiency in modern EDA tool flows for hardware implementation over 5+ years.
Strong programming skills in Python/PyTorch, C++, SystemVerilog, or CUDA.
Experience leading research projects and mentoring junior scientists.
Track record of publishing impactful research at top conferences.
Excellent communication skills to influence both technical and non-technical audiences.
Market check
Salary context
This
$192,000–$304,750
range sits above
82%
of similar postings on FindRole.
Peer median band
$169,660–$261,150
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$176,000–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.
Us, Ca, Santa Clara, US112 days ago
$168,000–$264,500
Python
PyTorch
C++
SystemVerilog
CUDA
VLSI
EDA
ASIC
Digital VLSI Circuits
Machine Learning
Generative AI
Computer Arithmetic
AI Hardware Micro-Architecture
IC Design Methodology
Us, Ca, Santa Clara, US58 days ago
$168,000–$264,500
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