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Method Engineer Jobs in California (NOW HIRING)

The Front-End CAD Methodology Engineer plays a key role in promoting and driving robust, scalable methodology solutions across RTL Design and DV teams within Apple's HWTech organization. You will ...

As a member of the Product Design FEA team, you will use your understanding of mechanics, materials, and numerical methods to play a pivotal role in predictive engineering and directly impact the ...

Solutions Engineer

San Francisco, CA · On-site

$170K - $200K/yr

Meet Method Method has built the most modern way to connect to consumer financial accounts ... The impact We're hiring a Solutions Engineer to improve Method's technical sale and expansion ...

As a member of the Product Design FEA team, you will use your understanding of mechanics, materials, and numerical methods to play a pivotal role in predictive engineering and directly impact the ...

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a member of the Graphics team, the successful applicant will help develop new flows/methodologies and algorithms to ...

JB061556 - Manufacturing Engineer

Sacramento, CA · On-site

$77K - $100K/yr

... Methods Engineer) • Hands on experience on Creo, Windchill (expert level), Team centre, SAP Desired Knowledge / Experience • 5-8 years experience in Manufacturing background with preferably in ...

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Showing results 1-20

Method Engineer information

See California salary details

$37.5K

$114.3K

$189K

How much do method engineer jobs pay per year?

As of Jun 10, 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 jobs make $1,000,000 per year?

Method engineers typically do not earn $1,000,000 annually; such high salaries are usually associated with executive roles, successful entrepreneurs, or highly specialized professionals in finance, technology, or investment sectors. Achieving this level often requires extensive experience, advanced skills, and sometimes ownership stakes or performance-based bonuses.
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 cities in California are hiring for Method Engineer jobs? Cities in California with the most Method Engineer job openings:
Formal Equivalence Checking Methodology Engineer

Formal Equivalence Checking Methodology Engineer

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 11 days ago


Job description

NVIDIA has been redefining 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 outstanding 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 encouraged to do their best work. Come join the team and see how you can make a lasting impact on the world!
We are seeking an expert and skilled Formal Equivalence Checking Methodology Engineer to join our VLSI team. This team is responsible for developing, maintaining, and optimizing RTL verification methodologies - Logical Equivalence and RTL Lint, for our ground breaking VLSI designs. This role is crucial in ensuring the functional equivalence of our designs throughout the design cycle, from RTL to GDSII!
What you'll be doing:
  • Develop and maintain robust equivalence checking flows (FEC/FEV) for different stages of the VLSI design cycle, including RTL-to-RTL, RTL-to-Gate, and Gate-to-Gate equivalence checking.
  • Collaborate with ASIC design teams to understand design requirements and constraints.
  • Optimize flows and methodologies for performance, capacity, and debug capabilities, ensuring efficient and effective verification of sophisticated VLSI designs.
  • Support and debug aborts/failing verification, including debug of constraint related problems, RTL coding styles, and solution space exploration with the EDA tools to address performance bottlenecks
  • Provide training and support to IP teams on formal verification methodologies, tools, and standard processes.
  • Stay up to date with the latest advancements in equivalence checking techniques, tools, and methodologies.

What we need to see:
  • BS in Electrical, Computer Engineering or equivalent experience with 3+ years of CAD experience; MS preferred
  • Be familiar with Verilog and ASIC design along with experience in commercial EDA tools
  • Knowledge or experience with Equivalence checking (FEC or FEV) and RTL Linting flows
  • Strong scripting skills in languages such as Python, or Perl
  • Excellent problem-solving, debugging, and analytical skills.
  • Ability to work in a team environment and collaborate efficiently with multi-functional teams.
  • Strong communication and documentation skills.

Ways to stand out from the crowd:
  • Experience in other ASIC methodologies such as RTL Lint or Logic Synthesis
  • Experience with advanced formal verification techniques, such as sequential equivalence checking, X-verification, and low-power equivalence sign-off.
  • Strong understanding of AI and machine learning concepts, frameworks, or applications.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? If so, we want to hear from you. Come, join NVIDIA VLSI team and help build the real-time, cost-effective computing platform driving our success across multiple fields such as Deep Learning and AI, Robotics and Autonomous Driving, Gaming and High Performance Computing.
#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 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 March 28, 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.

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