NVIDIA
Senior Research Scientist, EDA and AI
$192K–$356K
US, CA, Santa Clara · Senior · Full-time · Posted Oct 29, 2026
- Experience
- 2+ years of post-PhD research experience; 5+ years applying AI techniques and GPU/accelerator-based computing; 5+ years of software development experience.
- Education
- PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience).
About the job
Conduct and lead research combining AI, GPU computing, and EDA, translating new methods into tools, products, and research publications.
What you'll do
- Define and conduct research across EDA algorithms, VLSI design methodology, and machine learning; innovate in EDA software and algorithms.
- Collaborate with circuit design, VLSI, architecture, and external research teams to translate findings into product impact.
- Publish and present research at leading venues and mentor junior scientists.
What they ask for
- PhD in Computer Science, Electrical/Computer Engineering, or a related field, or equivalent experience; strong record of impactful publications in top EDA and AI/ML venues.
- Deep EDA/VLSI knowledge and 5+ years applying AI techniques and GPU/accelerator-based computing to large-scale problems.
- 5+ years of software development experience; expertise in high-performance computing, parallelism, optimization, and large-scale software engineering.
- Experience leading research projects or teams, mentoring, and driving cross-functional initiatives.
Pay
192,000 USD - 304,750 USD (base salary); 224,000 USD - 356,500 USD (base salary)
Tools
EDA, VLSI, supervised, unsupervised, reinforcement learning, GPU-accelerated optimization methods, GPU/accelerator-based computing
AI focus
Research and develop AI and GPU-accelerated methods for EDA algorithms and chip design, including supervised, unsupervised, and reinforcement learning.
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