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Methodology Jobs in California (NOW HIRING)

EDA Methodology Architect

Santa Clara, CA · Hybrid

$196K/yr

We are seeking a Senior P&R Methodology Architect to define and own the next generation RTL2GDS flow for advanced nodes (3nm and below) and high performance GPU, CPU and SoC designs. You should have ...

EDA Methodology Architect

Santa Clara, CA · On-site

$196K/yr

We are seeking a Senior P&R Methodology Architect to define and own the next generation RTL2GDS flow for advanced nodes (3nm and below) and high performance GPU, CPU and SoC designs. You should have ...

ASIC Methodology Engineer

Santa Clara, CA · On-site

$153K - $229K/yr

About the Role As a member of the DTECH Methodology team, you will work closely with core and SOC teams to enable a state-of-the-art design analytics platform. Your work will have a consequential ...

DFT Methodology Engineer

Santa Clara, CA · On-site

$145K - $191K/yr

We are now looking for a DFT Methodology Engineer! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined ...

DFT Methodology Engineer

Santa Clara, CA

$145K - $191K/yr

We are now looking for a DFT Methodology Engineer! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined ...

Design, development, and deployment of uniform global methodologies for emulation build generation and debug across FPGA based emulation platforms of various configurations * Cross-site collaboration ...

... methods. Principal Duties & Responsibilities: • Applies ASIC knowledge and experience to define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP (block ...

Are you excited to build the automation infrastructure behind next-generation silicon design? We're seeking a Senior VLSI Methodology Engineer to join our team and to design automation that powers ...

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Showing results 1-20

Methodology information

What are some common challenges faced by professionals working in methodology development teams within organizations?

Professionals focused on methodology development often encounter challenges such as balancing the need for standardization with organizational flexibility, ensuring stakeholder buy-in, and keeping methodologies up-to-date with evolving industry best practices. Team members must frequently collaborate across departments to gather input and address varying needs, which can lead to complex negotiation and communication dynamics. Staying current with regulatory changes and technological advancements is also crucial, as methodologies must remain relevant and effective in a rapidly changing environment.

What are the key skills and qualifications needed to thrive as a Methodologist, and why are they important?

To thrive as a Methodologist, you need strong analytical skills, expertise in research design, and typically a background in statistics or a related field. Familiarity with statistical analysis software (such as SPSS, R, or SAS) and experience with data collection methodologies are commonly required. Attention to detail, critical thinking, and effective communication are soft skills that help Methodologists collaborate and present findings clearly. These skills ensure rigorous, reliable research processes and enable informed decision-making based on accurate data.

What are methodology jobs?

Methodology jobs involve developing, evaluating, and implementing systematic approaches or methods for conducting research, analysis, or projects. Professionals in these roles design frameworks to ensure that data collection, analysis, and interpretation are consistent, reliable, and valid. They often work in fields such as research, statistics, social sciences, and market analysis, providing guidance on best practices and innovative methods. These roles are critical to ensuring the accuracy and credibility of findings in both academic and professional settings.

What is the difference between Methodology vs Data Analyst?

AspectMethodologyData Analyst
Required credentialsOften no formal credentials, but familiarity with research methods and frameworksBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work environmentDesigning research approaches, frameworks, and processes; often in research, consulting, or academic settingsAnalyzing data sets, creating reports, and visualizations; in corporate, finance, healthcare, or tech industries
Employer and industry usageUsed by researchers, consultants, and project managers to structure investigationsEmployed by companies across industries to interpret data and support decision-making

While Methodology focuses on designing research frameworks and approaches, Data Analysts apply these methods to interpret data and generate insights. Both roles are essential in research and data-driven environments, but Methodology is more about planning, whereas Data Analysts execute data analysis tasks.

What are popular job titles related to Methodology jobs in California? For Methodology jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Methodology jobs? Cities in California with the most Methodology job openings:
Infographic showing various Methodology job openings in California as of July 2026, with employment types broken down into 6% Internship, 80% Full Time, 7% Temporary, and 7% Contract. Highlights an 100% In-person job distribution.
EDA Methodology Architect

EDA Methodology Architect

Nvidia

Santa Clara, CA • Hybrid

$196K/yr

Full-time

Posted 20 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 245 rated software companies


Job description

NVIDIA's success builds on a foundation of industry leading hardware. We achieve distinction through extensive design optimization, including combining the best of external EDA with highly optimized, internal EDA tools. Our team develops these tools by fusing advances in parallel computing, machine learning, and specialized algorithms for VLSI design.

We are seeking a Senior P&R Methodology Architect to define and own the next generation RTL2GDS flow for advanced nodes (3nm and below) and high performance GPU, CPU and SoC designs. You should have deep, handson experience across the full RTL2GDS flow, with expertise in key stages such as RTL, DFT, synthesis, placement, optimization, CTS, routing, and signoff. Creativity and self-drive to explore is required. Our engineers enjoy unusually high intellectual freedom and the ability to explore broad roles. If you like to work across many technical areas and see your successes directly realized in the world's best AI hardware, it does not get any better than this!

What you'll be doing:

  • Working directly with core P&R engine developers to define realworld optimization problems, shape requirements and roadmaps, and provide detailed feedback on engine behavior, QoR, and scalability.

  • Defining and rolling out nextgen flows, including refactoring legacy flows and consolidating adhoc solutions into scalable, maintainable frameworks used across multiple design teams.

  • Designing and running rigorous A/B and multivariant experiments to compare flows, engines, and tool settings. Developing Pythonbased analytics and ML/GenAI techniques to mine large QoR datasets, recommend flow settings, and automate analysis.

  • Performing deep rootcause analysis on QoR issues across engines, tools, and flows, and driving methodologies to resolve the 'long tail' of timing closure and performance limiters.

  • Partnering with architecture, RTL, DFT, synthesis, physical design, power, signoff, and CAD/methodology teams as a key technical leader and bridge.

  • Driving aggressive PPA and schedule targets and the adoption of new tools and flows across the company.

What we need to see:

  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.

  • 8+ years physical design experience, with deep expertise in industry standard tools like ICC2/Innovus, PrimeTime/Tempus, etc.

  • Extensive handson P&R experience taking complex blocks or chips to tapeout with aggressive PPA targets.

  • Proven skills in Python, Perl, and TCL flow development.

  • Strong problemsolving skills and selfmotivation, demonstrated by simplifying complex, cluttered environments and modernizing legacy tools and processes.

  • Excellent communication and collaboration skills, with a track record of driving consensus and solving complex issues across distributed design, CAD, and R&D teams.

Ways to stand out from the crowd:

  • Experience collaborating with EDA or internal R&D teams on core engine development, codefining features, developing benchmarks and leading validation and deployment.

  • Expertise in designing and automating A/B tests and largescale regressions, and analyzing large QoR datasets to understand trends and drive rootcause analysis.

  • Background in advancednode and largescale designs with exposure to advancednode challenges (DFM, variability, EM/IR, power integrity).

  • Handson experience applying AI/ML or GenAI to physical design, QoR analysis, or flow development will be a strong plus.

If working handson from early architecture and RTL through silicon, and serving as the connector between core developers, methodology teams, and users, excites you, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 23, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993