Role at a glance
- Job function
-
AI & Data Machine Learning Engineering
- Salary
- Not Disclosed
- Location
- Santa Clara, California, United States
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- Experience in the following fields is a strict requirement for this role: Combinatorial Optimization, Agentic AI and large language...
- Education
- MS or PhD in Electrical/Computer Engineering degree (or equivalent experience).
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Role Summary
Works on AI-driven software systems for circuit design automation, combining automation algorithms, deep-learning models, and agentic workflows. The role contributes to electronic design automation research and VLSI design solutions.
What You'll Do
- Work with a multifunctional team on pre-silicon and post-silicon custom circuit design and related data, circuit/layout optimization,...
- Research and implement techniques for frontier electronic design automation solutions.
- Build and innovate agentic AI solutions for VLSI design problems.
- Analyze problems or datasets, raise and validate hypotheses, and design and build models and algorithms until they reach the desired QOR.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: MS or PhD in Electrical/Computer Engineering, or equivalent experience; experience in Combinatorial Optimization, Agentic AI and large language models, and Machine Learning for Chip Design & EDA; background in Algorithms/Data Structures; and applied math, machine learning, or software programming experience with demonstrated Python and C++ coding ability.
Required
- MS or PhD in Electrical/Computer Engineering degree (or equivalent experience).
- Experience in Combinatorial Optimization, Agentic AI and large language models, and Machine Learning for Chip Design & EDA.
- Background in Algorithms/Data Structures.
- Experience in Applied Math/Machine Learning/Software programming with shown ability in writing code in Python, C++.
Preferred
- Prior background in large-scale EDA software development.
- Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance.
- Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams).
- Effective verbal/written communication, and technical presentation skills.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 PhD in Electrical/Computer Engineering degree (or equivalent experience).
- 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
- Background in Algorithms/Data Structures.
- Experience in Applied Math/Machine Learning/Software programming with shown ability in writing code in Python, C++.
Ways to stand out from the crowd:
- Prior background 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.
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 116,000 USD - 184,000 USD for Level 2, and 152,000 USD - 230,000 USD for Level 3.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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.