1

Method Engineer Jobs in California (NOW HIRING)

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 ...

Looking for Web Methods Developer Experience in Oracle and Java Good communication skills. Additional Information All your information will be kept confidential according to EEO guidelines.

As the Staff Aerothermal CFD Methods Engineer, you will build and extend the computational tools our aerothermal team depends on - developing new physics models, numerics, and solver capabilities ...

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 ...

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 ...

Senior DFT Power Methodology Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

In addition, you will help develop and deploy DFT methodologies for our next generation productsusing Applied ML & Gen AI solutions. * You will also help mentor junior engineers on test designs and ...

Showing results 41-60

Method Engineer information

See California salary details

$37.5K

$114.3K

$189K

How much do method engineer jobs pay per year?

As of Sep 6, 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 does a method engineer do?

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

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:

Infographic showing various Method Engineer job openings in California as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $114,347 per year, or $55 per hour.

Senior Circuit Methodology Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 27 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

NVIDIA's 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 - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.
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 and methodology. The engineer will own and evolve the compute and GPU infrastructure in coordination with our Farm, IT, CAD, and GPU infrastructure teams. The stability and management of these resources underpins our mixed-signal design and verification flows. This position carries a critical responsibility across the whole circuit design department and impacts the whole company's farm infrastructure!
What you'll be doing:
  • We need someone who will design, develop, and maintain circuit design and verification flows that run on large-scale compute and GPU farms located across geographies through various job schedulers.
    These responsibilities will include:
  • Proactively monitor farm health and job behavior, identify bottlenecks, and implement solutions to improve throughput, utilization, and turnaround time.
  • Bring up and release new compute and GPU infrastructure to be used by the team.
  • Evaluate and qualify new compute and GPU resources, schedulers, and related EDA infrastructure components.
  • Build automation and tooling to streamline flow setup, job submission, resource allocation, logging, and reporting.
  • Track important measurements (utilization, queue times, failure rates) and lead ongoing improvement projects for farm efficiency and cost effectiveness.
  • You would also be required to provide user support, which may include: debug flow, infrastructure, and job-scheduling issues; root-cause failures; and implement permanent fixes rather than one-off workarounds.
  • Additionally, you will be asked to develop and maintain documentation, training materials, and best-practice guidelines for users of the circuit design compute and GPU environment.
    We also want to proactively include information into our in-house Ais in order to provide first pass user assistance.

What we need to see:
  • BSEE, BSCE or equivalent experience.
  • Mid-level of programming skill is a must (primarily Python and Perl).
  • 8 plus years of working experience related to circuit design methodology using Cadence/Synopsys based system (Virtuoso/Custom Compiler, respectively). Previous design experience is a huge plus.
  • Experience with job schedulers / compute farms, primarily LSF and Slurm.
  • Proven ability to debug complex multi-layer issues spanning flows, scripts, tools, and infrastructure.
  • Strong communication skills and ability to partner with diverse engineering teams.
  • Exposure to circuit design workloads will be beneficial.

NVIDIA is renowned as the leader in AI computing and one of the world's most innovative and desirable employers. MSDV team consists of individuals who demonstrate outstanding creativity and critical thinking skills, driving innovation forward. If you're passionate, creative, and eager to work on the cutting edge of technology, this is the perfect team for 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 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 16, 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