Research Scientist, Electronic Design Automation - New College Grad 2026

at Nvidia

USD 168,000-264,500 per year

JUNIOR

✅ 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 @ 3 Agentic AI @ 3 Algorithms @ 3 CUDA @ 5 Communication @ 3 Deep Learning @ 3 GPU Machine Learning @ 3 PyTorch @ 5 Python @ 5 Reinforcement Learning @ 3

Details

NVIDIA Research is searching for a world-class new college graduate PhD researcher to drive groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). Deep learning and GPU acceleration are transforming the future of chip design, and this role offers the opportunity to shape that future. NVIDIA is seeking a creative and collaborative researcher interested in pursuing new challenges.

Responsibilities

Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced AI techniques.
Innovate in EDA software and algorithms, with applications spanning supervised learning, unsupervised learning, reinforcement learning, agentic AI systems, and GPU-accelerated optimization methods.
Apply deep learning and GPU computing to improve ASIC and VLSI design tool flows.
Collaborate cross-functionally with circuit design, VLSI, and architecture teams, ensuring research translates into real-world product impact.
Publish and present original research at conferences and events.
Collaborate with external researchers and a diverse set of internal product teams.

Requirements

PhD in Computer Science, Electrical or Computer Engineering, or a related field, or equivalent experience.
Proficiency in at least two of Python, PyTorch, C++, or CUDA.
Publications in top EDA and AI/ML venues.
Expertise in EDA algorithms, such as synthesis, physical design, design verification, or timing, combined with publications and project experience applying machine learning or deep learning—including supervised learning, unsupervised learning, reinforcement learning, or agentic AI—to impactful problems.
Excellent self-motivation, creativity, collaboration skills, and the ability to work effectively within a research team.
Excellent written and verbal communication skills, with proven experience communicating technical work through academic presentations or poster sessions.
Ability to synthesize and explain complex technical concepts.

Compensation and Benefits

Base salary range: USD 168,000–264,500 per year, determined based on location, experience, and the pay of employees in similar positions.
Eligible for equity and benefits.
Applications will be accepted at least until June 7, 2026.

NVIDIA uses AI tools in its recruiting processes and is committed to fostering an inclusive work environment and providing equal employment opportunities.