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’re seeking a Senior VLSI Methodology Engineer to architect automation that powers library modeling, quality checks, and release for NVIDIA’s PD flows. You’ll build and integrate data‑driven pipelines and verification systems, collaborating with process and cell‑design teams to align modeling standards with advanced technology nodes.
What you'll be doing:
- 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
What we need to see:
- 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 required
Ways to stand out from the crowd:
- 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
We welcome you joining our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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 April 21, 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.