Senior Research Scientist, EDA and AI

at Nvidia

USD 192,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 7 Algorithms @ 7 Communication @ 4 GPU @ 6 HPC Machine Learning Mentoring @ 4 Reinforcement Learning @ 6 Software Development @ 6

Details

NVIDIA is seeking a Senior Research Scientist to drive research at the intersection of artificial intelligence, GPU computing, and Electronic Design Automation (EDA). The role focuses on using AI and GPU acceleration to advance chip design and translate research into real-world product impact.

Responsibilities

Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques.
Innovate in EDA software and algorithms using supervised, unsupervised, and reinforcement learning, as well as GPU-accelerated optimization methods.
Collaborate with circuit design, VLSI, and architecture teams to translate research into product impact.
Publish research in premier conferences, present at leading venues, and drive thought leadership.
Foster collaboration with external researchers and internal product teams.

Requirements

PhD in Computer Science, Electrical or Computer Engineering, or a related field, or equivalent experience.
At least 2 years of post-PhD research experience and a strong record of impactful publications in top EDA and AI/ML venues.
Ability to set research direction and translate ideas into tools or products.
Deep knowledge of EDA/VLSI, including areas such as synthesis, formal verification, timing, reliability, or physical design algorithms.
At least 5 years of experience applying AI techniques, including supervised learning, unsupervised learning, and reinforcement learning, as well as GPU or accelerator-based computing to large-scale problems.
At least 5 years of software development experience.
Strong expertise in high-performance computing, parallelism, optimization, and large-scale software engineering.
Experience leading research projects or teams, mentoring junior scientists, driving cross-functional initiatives, and fostering collaborations with academia or industry.
Excellent written and verbal communication skills, including experience presenting at top conferences.
Experience releasing high-impact open-source tools, datasets, or frameworks.
Ability to influence technical and non-technical audiences.

Compensation and Benefits

The base salary range is USD 192,000–304,750 for Level 4 and USD 224,000–356,500 for Level 5. The position is also eligible for equity and benefits.

Applications will be accepted at least until November 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.