NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Our team builds AI-driven software systems for Circuit Design: combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation. Come join this integral team in our Circuit Solutions Group!
What you'll be doing:
Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation
Research and implement techniques on frontier solutions of electronic design automation.
Build and innovate agentic AI solution for VLSI design problem.
Responsible for analyzing the problem or datasets, raise and validate hypotheses, design and build models and algorithm until they reach the desired QOR.
What we need to see:
MS (or equivalent experience) with 3+ years’ experience or PhD with 1+ years’ experience in Electrical/Computer Engineering degree
Experience in the following fields is a strict requirement for this role: Combinatorial Optimization, Agentic AI and large language models, Machine Learning for Chip Design & EDA
Experience in Algorithms/Data Structures/Applied Math/Machine Learning/Software programming with proven ability in writing code in Python, C++ is required.
Experience in Applied Math/Machine Learning/Software programming with proven ability in writing code in Python, C++ is required
Ways to stand out from the crowd:
Prior experience in large-scale EDA software development is a plus.
Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance, is a definite plus
Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)
Effective verbal/written communication, and technical presentation skills
Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team
NVIDIA is a pioneer in bringing groundbreaking technology to new markets. We have some of the most forward-thinking and hardworking people in the world working with us. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- MS degree or equivalent experience with 3+ years of experience, or PhD with 1+ years of experience
- Degree in Electrical Engineering or Computer Engineering
- Experience with combinatorial optimization
- Experience with agentic AI and large language models
- Experience applying machine learning to chip design and electronic design automation
- Algorithms, data structures, applied mathematics, machine learning, and software programming experience
- Proven ability to write code in Python and C++
- Large-scale electronic design automation software development experience
- CMOS layout drawing, schematic-to-layout translation, and DRC/LVS compliance experience
- Experience collaborating across engineering, research, product, sales, and marketing teams
- Effective verbal and written communication and technical presentation skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
