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Method Engineer Jobs in Santa Clara, CA (NOW HIRING)

Nvidia Corporation

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 ...

Nvidia

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 ...

Qualcomm

ASIC Methodology Engineer

Santa Clara, CA · On-site

$153K - $229K/yr

Engineering Group, Engineering Group > ASICS Engineering General Summary: The DTECH team is part of the Global SOC organization and is responsible for STA methodology and signoff, foundry technology ...

Nvidia

Senior Circuit Methodology Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

We are looking for a Senior Circuit Methodology Engineer that will work closely with Nvidia's circuit design engineering team in the area of infrastructure support as it pertains to circuit design ...

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Method Engineer information

See Santa Clara, CA salary details

$44.6K

$136K

$224.8K

How much do method engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for method engineer in Santa Clara, CA is $136,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $177,900.00 per year, depending on experience, location, and employer.

What does a method engineer do?

A method engineer develops and improves manufacturing or operational processes to increase efficiency, quality, and safety. They analyze workflows, implement best practices, and often use tools like process mapping and statistical analysis to optimize production methods. Strong problem-solving skills and knowledge of industry standards are essential for this role.

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 are popular job titles related to Method Engineer jobs in Santa Clara, CA?

For Method Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Method Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Method Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Method Engineer jobs?

Cities near Santa Clara, CA with the most Method Engineer job openings:

Method Engineer jobs near you
Infographic showing various Method Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $136,935 per year, or $65.8 per hour.

DFT Methodology Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$145K - $191K/yr

Full-time

Re-posted 2 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

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 modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to amplify human imagination and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips.
What you'll be doing:
  • As a member in our team, you will own and work with cross functional teams, implementing state-of-the-art designs in test access mechanisms, I1149.1, I1500, I1687, 1838, memory BIST, scan and memory dump and DFX security methodology.
  • In addition, you will help architect, develop and deploy DFT methodologies for our next generation products including RTL design, Verification, pattern generation, partnering with teams like timing, physical design, software, bringup, production
  • You will also help mentor junior engineers on test designs and trade-offs including cost and quality.

What we need to see:
  • Master's degree (or equivalent experience) in Electrical Engineering or related field with proven experience in DFT or related domains.
  • 10+ years of hands-on experience in SoC architecture, RTL design, and verification.
  • Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate designs using vendor tools
  • Good exposure to cross functional areas including RTL & clocks design, STA, place-n-route and power, to ensure we are making the right trade-offs
  • Experience in Silicon debug and bring-up on the ATE with an understanding of pattern formats, failure processing, and test program development
  • Knowledge of DFT security and hardware system security is a plus.
  • Exceptional written and oral interpersonal skills with the curiosity to work on rare challenges

NVIDIA is widely considered to be the leader of AI computing, and one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA offers highly competitive salaries and a comprehensive benefits package.
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 July 17, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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