Senior Circuit Methodology Engineer

The Silicon Co-Design Group (SCG) at NVIDIA is seeking a Senior Circuit Methodology Engineer to define and drive circuit methodologies across GPUs and SoCs. The ideal candidate will have deep technical expertise in semiconductor/VLSI design and a background in translating product requirements into design and vice versa.

Key Responsibilities:

• Lead circuit methodology direction and delivery covering circuit behavior, performance, quality, feature readiness, and release criteria from pre-silicon through productization.
• Accelerate New Product Introduction (NPI) through left-shift characterization, prototyping, and early validation methods that reduce downstream risk and improve execution readiness.
• Turn incomplete silicon data into hypothesis trees, measurement plans, and practical paths to closure; evaluate multi-functional impacts and drive tradeoffs across performance, quality, coverage, cost, and schedule.
• Translate feature goals and circuit behavior into executable requirements, validation strategies, screening plans, reusable frameworks, tools, and best practices across programs.
• Partner with multiple cross-functional teams to align feature intent, execution, and release readiness across programs.
• Build secure, traceable, and validated AI-assisted workflows for analysis, debug, and methodology automation, with human oversight for critical engineering judgments.

Requirements:

• BS/MS in Electrical Engineering, Computer Engineering, or equivalent practical experience.
• 8+ years of semiconductor design experience, including strong technical leadership in complex silicon or circuit methodology work.
• Expertise in bridging hardware and software specifications with silicon implementation.
• Track record delivering prototyping, left-shift, and silicon-correlation methodologies covering circuit behavior, performance, quality, and product readiness.
• Solid background in silicon bring-up, validation, test coverage optimization, yield ramp, and quality issue resolution.
• Demonstrated success driving cross-functional technical execution to meet critical project deliverables.
• Practical hands-on experience leveraging AI tools and AI-augmented engineering workflows.
• Track record creating reusable methods or tools adopted across teams or programs.
• Exceptional communication and cross-team collaboration skills.

Benefits: NVIDIA offers competitive salaries and a generous benefits package.