NVIDIA is seeking a Circuit Methodology Engineering Manager to lead a team responsible for EDA tool evaluation, workflow integration, and strategic vendor engagement for the mixed signal circuit design organization. This manager will coordinate engineers developing and supporting production workflows, drive adoption of third-party EDA capabilities, and align vendor roadmaps with NVIDIA’s design-quality and schedule goals.
This role combines people leadership, technical direction, and external partnership management. The manager will work closely with circuit design, methodology, CAD, and EDA vendors to improve design quality, reduce cycle time, and enable scalable, high-impact engineering workflows.
What you'll be doing:
Explore and guide the use of Agentic-AI capabilities in EDA workflows where they improve efficiency.
Lead, coach, and develop a team of engineers with direct reports focused on EDA workflows and tool enablement.
Define and drive strategy for evaluating, integrating, deploying, and supporting third-party EDA tools across the circuit group.
Own key EDA vendor relationships, including technical engagement, addressing customer concerns, roadmap alignment, and ongoing partnership management.
Drive internal adoption of new workflows through communication, training, and integration.
What we need to see:
BSEE, BSCE, or equivalent international education or equivalent experience.
10+ years of experience in circuit design methodology, CAD/EDA enablement, or related engineering infrastructure roles.
Minimum 3 plus years of Management Experience
Prior experience leading projects or teams, including direct people management.
Hands-on experience with Cadence, Siemens, and Synopsys custom design environments such as Virtuoso, Solido Design Environment, and Custom Compiler.
Strong communication skills and proven ability to work across internal teams and external vendors.
Ways to Stand Out from the Crowd:
Familiarity with Cadence ADE and experience with transient simulators such as alps, hspice, primesim, or spectrex.
Familiarity with various other EDA tool such as Totem, HFSS, thermal mechanical solver, matlab, and Solido Design Environment
Experience with layout viewing and manipulation.
Experience influencing EDA vendor roadmaps or leading strategic technical partnerships.
Exposure to AI algorithms, AI-assisted flows, or emerging agentic EDA methodologies.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- BSEE, BSCE, or equivalent education or equivalent experience
- 10+ years experience in circuit design methodology, CAD/EDA enablement, or related engineering infrastructure roles
- Minimum 3 plus years of management experience
- Prior experience leading projects or teams, including direct people management
- Hands-on experience with Cadence, Siemens, and Synopsys custom design environments (e.g., Virtuoso, Solido Design Environment, Custom Compiler)
- Strong communication skills and ability to work across internal teams and external vendors
- Familiarity with Cadence ADE and transient simulators (alps, hspice, primesim, spectrex)
- Familiarity with other EDA tools (Totem, HFSS, thermal mechanical solvers) and Matlab
- Experience with layout viewing and manipulation
- Experience influencing EDA vendor roadmaps or leading strategic technical partnerships
- Exposure to AI algorithms, AI-assisted flows, or agentic EDA methodologies
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
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, NVIDIA is increasingly known as “the AI computing company.”
