below marketmost similar roles pay hereabove market
This role pays more than
85%
of similar roles. Most pay
$162,000–$235,100
— the blue band above.
At the midpoint, this role pays about
$248k
versus about
$199k
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
1792 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1179 roles with salary data.
The Senior Research Scientist, EDA and AI will join the research team to drive groundbreaking work at the intersection of AI, GPU computing, and Electronic Design Automation. The successful candidate will define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques. Day-to-day responsibilities include innovating in EDA software and algorithms using supervised, unsupervised, and reinforcement learning, alongside GPU-accelerated optimization methods. The role requires deep knowledge in synthesis, formal verification, timing, reliability, or physical design algorithms. Candidates must possess expertise in high-performance computing, parallelism, and large-scale software engineering. This position solves technical problems in chip design by translating research into real-world product impact through collaboration with circuit design, VLSI, and architecture teams while publishing in premier conferences.
What does a Research Scientist earn in California?
Median $216250 from 35 postings across 10 companies.
Conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques.
Innovate EDA software and algorithms using supervised, unsupervised, and reinforcement learning.
Develop GPU-accelerated optimization methods for large-scale problems.
Translate research findings into real-world products and tools for circuit design and architecture teams.
Publish research in premier conferences and present at leading industry venues.
Lead research projects and mentor junior scientists to drive cross-functional initiatives.
Release high-impact open-source tools, datasets, or frameworks to the research community.
What we're looking for
PhD in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).
At least 2 years of post-PhD research experience with a strong record of impactful publications in top EDA and AI/ML venues.
Deep knowledge in EDA/VLSI, including synthesis, formal verification, timing, reliability, or physical design algorithms.
5+ years of experience applying AI techniques (supervised, unsupervised, RL) and GPU/accelerator-based computing to large-scale problems.
5+ years of experience in software development with expertise in high-performance computing, parallelism, optimization, and large-scale software engineering.
Experience leading research projects or teams and mentoring junior scientists.
Excellent written and verbal communication skills with experience presenting at top conferences.
Track record of releasing high-impact open-source tools, datasets, or frameworks.
Generative AI
Python
C++
Deep Learning
Computer Vision
Natural Language Processing
Computer Graphics
Large-scale Datasets
deep-learning frameworks
Image Generation
Video Generation
3D Generation
Audio Generation