Role at a glance
- Salary
- $196K – $368K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 10+ years of experience in circuit design methodology, CAD/EDA enablement, or related engineering infrastructure roles.
- Education
- BSEE, BSCE, or equivalent international education or equivalent experience.
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Role Summary
NVIDIA is seeking a Circuit Methodology Engineering Manager to lead a team supporting EDA tool evaluation, workflow integration, and strategic vendor engagement for the mixed signal circuit design organization. The role combines people leadership, technical direction, and external partnership management to improve design quality, reduce cycle time, and enable scalable engineering workflows.
What You'll Do
- 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...
- Drive internal adoption of new workflows through communication, training, and integration.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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; strong communication skills and proven ability to work across internal teams and external vendors.
Required
- 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...
- Strong communication skills and proven ability to work across internal teams and external vendors
Preferred
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.