Senior Circuit Methodology Engineer

Details

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We’re looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.

We seek a Senior Circuit Methodology Engineer who is a skilled tools architect to lead designing, improving, and evolving our in-house methodology applications. This role will develop new tools, improve and maintain existing ones, and promote their use across various departments to achieve rapid tapeout schedules, better design quality, and efficient AI integration within our flows!

Responsibilities

• Architect, develop, and collaborate with software development teams to implement new in-house tools that support mixed-signal project, cell specification, and circuit deliverable tracking.
• Identify, prototype, and collaborate with software development teams to deploy AI/ML capabilities into the tool ecosystem.
• Own and improve existing internal applications, ensuring they remain robust, maintainable, and aligned with evolving design methodology and business needs.
• Define and drive tool integration into multi-department flows (circuit design, verification, VLSI, CAD) to streamline handoffs and reduce tapeout cycle time.
• Establish and communicate guidelines for tool usage, including onboarding, documentation, training, and support processes.
• Add telemetry and metrics to measure adoption, usage, data quality, and impact on schedule and circuit design quality.
• Ensure methodology tools actively improve mixed-signal build quality through better specifications, checks, and traceability of requirements.

Requirements

• BSEE, BSCE, or equivalent experience.
• 5+ years of working experience related to circuit design methodology, CAD/EDA development, or internal tools engineering for semiconductor design flows.
• Exposure to, and experience with AI algorithms/flows, and their integration into tools is strongly desired.
• Good understanding of mixed-signal or analog/RF design flows and the corresponding EDA ecosystem.
• Background in process/flow engineering aimed at tapeout schedule reduction and design-quality improvements is a huge plus.
• Coding experience considered a benefit.

Compensation & Other Details

• Base salary range (Level 3): 136,000 USD - 218,500 USD.
• Base salary range (Level 4): 168,000 USD - 264,500 USD.
• You will also be eligible for equity and benefits.
• Applications for this job will be accepted at least until May 16, 2026.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.