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.

We seek an RTL Analysis Methodology Engineer to join our Logic Design Implementation team. The team develops and supports static RTL verification methodologies for RTL Lint and Logical Equivalence. As part of the VLSI organization, our team defines advanced methodologies used to design and develop every NVIDIA chip. NVIDIA chips push the industry limits of technology and performance for GPU, CPU and SoC markets.

What you'll be doing:

• Evaluate new EDA tools and features and advance static verification methodologies.

• Contribute to architecting and developing brand-new RTL analysis flows.

• Create new workflows for data collection, analysis, and reporting to provide methodology insights.

• Set up and maintain flow regressions and QA.

• Analyze and debug issues, build solutions or workarounds

• Act as liaison between ASIC designers and EDA vendors.

What we need to see:

• BS or MS in Electrical, Computer Engineering or equivalent experience with 4 years of proven experience with tools and methodologies for ASIC design and verification.

• Knowledge of Verilog and System Verilog HDL.

• Proficiency in Python

• Debugging and problem-solving. Experience working with vendors to resolve problems.

• Excellent communication and collaboration skills.

Ways to Stand Out from the Crowd:

• Hands-on experience with RTL, whether as a designer, verification engineer, or similar role.

• Proven experience with DevOps tools and workflows (e.g., Jenkins, GitLab, Docker) and database management systems like SQL.

• Practical experience with data analysis tools and libraries such as pandas and Num Py.

• Strong understanding of AI and machine learning concepts, frameworks, or applications.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? If so, we want to hear from you. Come, join NVIDIA VLSI team and help build the real-time, cost-effective computing platform driving our success across multiple fields such as Deep Learning and AI, Robotics and Autonomous Driving, Gaming and High Performance Computing.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.