ZipRecruiter

Log In

1

Method Engineer Jobs in California (NOW HIRING)

Nvidia

Senior VLSI Methodology Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

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 ...

Qualcomm

CPU RTL Methodology Engineer

Santa Clara, CA · On-site

$198K - $298K/yr

Engineering Group, Engineering Group > CPU Engineering General Summary: We are seeking a highly ... Define and develop methodologies to build scalable, efficient CPU designs * Support RTL development ...

Deegit Inc

Web Methods Developer

San Jose, CA · On-site

Company Description Deegit inc WebMethods developer with : - Integration Server and Universal Messaging skills - SAP adapter and Salesforce.com Cloudstream experience - Should be able to work ...

Intel

Physical Design Methodology Engineer

Folsom, CA · On-site

$164K - $269K/yr

As a process technology design engineer, you will be responsible for creating methodologies, models, and flows for advanced design rules for a specific process node and characterizes those models ...

Intel

Physical Design Methodology Engineer

Santa Clara, CA · On-site

$164K - $269K/yr

As a process technology design engineer, you will be responsible for creating methodologies, models, and flows for advanced design rules for a specific process node and characterizes those models ...

Moog

CNC Programmer/Manufacturing Engineer

Torrance, CA

$76K - $97K/yr

... Engineer to support our Manufacturing Engineering Group. You are responsible for developing ... This role ensures that all production methodologies meet quality standards, productivity ...

next page

Showing results 1-20

All JobsMethod Engineer JobsMethod Engineer Jobs in California

Method Engineer information

See California salary details

$37.5K

$114.3K

$189K

How much do method engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for method engineer in California is $114,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $149,500.00 per year, depending on experience, location, and employer.

What is the difference between Method Engineer vs Process Engineer?

AspectMethod EngineerProcess Engineer
Required CredentialsBachelor's degree in engineering or related field; certifications in process improvementBachelor's degree in engineering, chemical, or industrial engineering; often similar certifications
Work EnvironmentManufacturing plants, production lines, quality assurance labsManufacturing facilities, chemical plants, or industrial settings
Employer & Industry UsageManufacturing, automotive, aerospace, and industrial sectorsChemical, manufacturing, energy, and industrial sectors

Method Engineers focus on developing and implementing specific methods to improve manufacturing processes, while Process Engineers oversee the entire process flow, optimizing efficiency and quality. Both roles require similar credentials and often work in overlapping environments, but Method Engineers are more specialized in method development, whereas Process Engineers handle broader process management.

What engineer makes $500,000 a year?

Highly experienced engineering roles such as petroleum engineers, aerospace engineers, or senior software engineers in specialized fields can earn $500,000 or more annually, often including bonuses and stock options. Achieving this level typically requires advanced skills, extensive experience, and working in high-demand industries or leadership positions.

What does a Methods Engineer do?

A Methods Engineer develops and improves manufacturing processes to increase efficiency, quality, and safety. They analyze workflows, select appropriate tools and techniques, and often use data analysis and process modeling to optimize production. This role typically requires strong problem-solving skills and knowledge of industry standards and safety regulations.

What engineers make $200,000 a year?

Senior engineers in fields such as petroleum, aerospace, software, and electrical engineering often earn $200,000 or more annually, especially with extensive experience, advanced certifications, or leadership roles. High-paying engineering positions typically require specialized skills, advanced degrees, and sometimes work in high-demand industries or locations with a high cost of living.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding managerial or executive positions, or possessing rare technical expertise and certifications.
What are popular job titles related to Method Engineer jobs in California? For Method Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Method Engineer jobs in California look for? The top searched job categories for Method Engineer jobs in California are:
What cities in California are hiring for Method Engineer jobs? Cities in California with the most Method Engineer job openings:
Method Engineer jobs near you
Infographic showing various Method Engineer job openings in California as of June 2026, with employment types broken down into 83% Full Time, 11% Part Time, 3% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $114,347 per year, or $55 per hour.
Senior VLSI Methodology Engineer

Senior VLSI Methodology Engineer

Nvidia

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Posted 20 days ago

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

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 library modeling, quality checks, and release for NVIDIA's PD flows. We build and integrate datadriven pipelines and verification systems, collaborating with process and celldesign teams to push modeling standards forward on advanced nodes!

What you'll be doing:

  • Build scalable systems (from validation pipelines through dashboards) for quality checking of GPU and SOC libraries

  • Develop automated library analysis, validation, and quality control flows using modern scripting and EDA tools

  • Collaborate with our design teams to integrate library quality systems and enhance cell design methodologies, applying adaptive threshold partitioning

  • Define and implement guidelines for library modeling, abstraction, and data integrity, that drive innovation!

What we need to see:

  • M.S. in Electrical Engineering or related field (or equivalent experience)

  • 4+ years of Library, Physical Design, and/or CAD methodology experience

  • Hands-on development with industry-standard EDA tools (Innovus, Fusion Compiler, Crosscheck, Virtuoso, or similar), including scripting, customization, or tool integration

  • Advanced Python, C++, or Perl skills; workflow automation and data pipelines development experience (data collection, validation, and reporting/dashboards)

Ways to stand out from the crowd:

  • Understanding how library models are consumed in chip design flows (synthesis, place and route, timing closure, power analysis)

  • 2+ years in library modeling/validation, quality systems, or physical design automation

  • Experience building robust library models with system-level quality and automation, including exposure to contextual model calibration

  • Applied AI/ML/LLM experience to enhance EDA tools, automation, or design methodologies

  • Built or maintained quality systems with integrated dashboards tracking critical metrics such as release readiness, validation pass rates, or regression health

We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 14, 2026.

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.
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

View All Nvidia Jobs

Apply