Senior VLSI Methodology Engineer

Overview

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.

• Develop scalable systems and methodologies for physical design and quality checking of graphics processors and SOC libraries.
• Build automated flows and tools for library analysis, validation, and quality control using modern scripting languages and industry-standard EDA tools.
• Collaborate with design teams to integrate library quality systems and enhance cell design methodologies, with attention to adaptive threshold partitioning.
• Define and implement guidelines for library modeling, abstraction, and data integrity, contributing to industry-leading innovation.

• M.S. in Electrical Engineering or related field (or equivalent experience).
• 4+ years of Physical Design and CAD methodology experience.
• Direct development experience with industry-standard EDA tools (such as Synopsys Design Compiler, Siemens Calibre, Cadence Virtuoso, or similar), including scripting, customization, or tool integration.
• Advanced programming skills in Python, C++, or Perl; experience in workflow automation with software architecture and data pipelines development.

• Proven understanding of chip design flows (floor planning, clock/power distribution, place and route, integration, verification) and hierarchical/top-down approaches.
• 2+ years in library modeling, quality systems, or physical design automation.
• Strong experience in developing and maintaining library models, with emphasis on system-level quality, robustness, and automation, including exposure to contextual model calibration.
• Demonstrated experience leveraging AI, machine learning, or large language models (LLMs) to enhance EDA tools, automation, or design methodologies.

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. NVIDIA offers a comprehensive benefits package. Applications for this job will be accepted at least until March 15, 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. We do not discriminate 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.