Low Power Verification Engineer, Physical Design
New
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NVIDIA
NewThis role involves building AI-driven software systems for circuit design, combining automation algorithms, deep learning models, and agentic workflows to accelerate end-to-end design automation. You'll work on pre- and post-silicon custom circuit design optimization, research frontier EDA solutions, and develop agentic AI systems for VLSI design problems. Required qualifications include an MS with 3+ years or PhD with 1+ years in Electrical/Computer Engineering, plus proven expertise in combinatorial optimization, agentic AI, large language models, machine learning for chip design, and proficiency in Python and C++. The position is hybrid and offers a base salary of $152,000–$230,000 (Level 3) or $168,000–$264,500 (Level 4) depending on experience and level.
Written from this posting by Neural Jobs AI. The full description is below.
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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
154K – 314K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 40 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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