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Vlsi Testing Jobs in California (NOW HIRING)

Senior VLSI CAD Engineer

Santa Clara, CA · On-site

$126K - $164K/yr

As a VLSI CAD Engineer, you will play a pivotal role in building the foundational tools and flows ... Prior experience with development, testing and deployment of EDA tools. * Self-starter with passion ...

Senior VLSI CAD Engineer

Santa Clara, CA · Hybrid

$126K - $164K/yr

As a VLSI CAD Engineer, you will play a pivotal role in building the foundational tools and flows ... Prior experience with development, testing and deployment of EDA tools. * Self-starter with passion ...

... testing and validation, • VLSI circuit and system design using Verilog, • Architecture design space exploration, • Spectrum Analyzer. Annual base salary for this role in California, US is ...

Analog Design Engineer

Santa Clara, CA · On-site

$156K - $160K/yr

... testing and validation, • VLSI circuit and system design using Verilog, • Architecture design space exploration, • Spectrum Analyzer. Annual base salary for this role in California, US is ...

... testing and validation, • VLSI circuit and system design using Verilog, • Architecture design space exploration, • Spectrum Analyzer. Annual base salary for this role in California, US is ...

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Showing results 1-20

Vlsi Testing information

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

To thrive as a VLSI Testing Engineer, you need strong knowledge of digital design, semiconductor device fundamentals, and test methodologies, often supported by a degree in electrical or electronics engineering. Proficiency with tools like Automatic Test Equipment (ATE), Verilog/VHDL, and industry-standard EDA software, as well as familiarity with DFT (Design for Testability) concepts, is essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills in this role. These competencies ensure accurate defect detection, efficient debugging, and seamless collaboration, which are vital for delivering reliable, high-performance integrated circuits.

What is the difference between Vlsi Testing vs Vlsi Design?

AspectVlsi TestingVlsi Design
Primary FocusVerifying and validating integrated circuit functionalityCreating and developing circuit layouts and architectures
Skills RequiredTesting methodologies, scripting, debugging, knowledge of testing toolsCircuit design, HDL programming, simulation, schematic capture
Work EnvironmentTesting labs, simulation environments, hardware testing setupsDesign offices, CAD tools, simulation software
CertificationsOptional certifications in testing and verificationCertifications in VHDL/Verilog, CAD tools

Vlsi Testing and Vlsi Design are closely related roles within the semiconductor industry. Vlsi Testing focuses on verifying the functionality of chips through testing and validation, while Vlsi Design involves creating the circuit layouts and architectures. Both roles require knowledge of hardware description languages and industry-standard tools, but they differ in their core activities and work environments.

What is VLSI testing?

VLSI testing refers to the process of evaluating and verifying Very Large Scale Integration (VLSI) circuits and chips to ensure they function correctly and meet design specifications. This involves identifying manufacturing defects, design errors, and faults in integrated circuits using various test methodologies such as functional testing, structural testing, and fault simulation. VLSI testing is crucial for improving yield, reliability, and performance of semiconductor devices before they reach the market.

What are some common challenges faced by VLSI Testing engineers, and how can they be addressed?

VLSI Testing engineers often encounter challenges such as managing complex test patterns, detecting subtle defects in large-scale integrated circuits, and optimizing test coverage without increasing costs. Keeping up with rapid technological advancements and meeting tight project deadlines can also be demanding. These challenges can be addressed through continuous learning, adopting automated testing tools, collaborating closely with design and verification teams, and leveraging industry-standard methodologies to streamline the testing process.
What job categories do people searching Vlsi Testing jobs in California look for? The top searched job categories for Vlsi Testing jobs in California are:
Infographic showing various Vlsi Testing job openings in California as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Applied AI Engineer - VLSI Design

Applied AI Engineer - VLSI Design

Nvidia

Santa Clara, CA • Hybrid

Full-time

Re-posted 17 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


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.

Join NVIDIA's custom RAM design team, where we are pushing the boundaries of memory technology to power the next generation of AI and accelerated computing. Our team operates at the intersection of innovative circuit design and scalable CAD infrastructure, tackling some of the most complex memory design challenges in the industry. We are looking for dedicated Software Engineers to work on developing and deploying AI agents that leverage machine learning models to solve complex problems in VLSI design. The ideal candidate will have a strong background in computer science, electrical engineering, or related field, with experience in machine learning, deep learning, and software development. The successful candidate will work closely with our team of experts in VLSI design, machine learning, and software engineering to create and integrate machine learning-based solutions that enhance the efficiency, productivity, and quality of our VLSI design flows.

What you'll be doing:

  • Play a key role in design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and other related technologies.

  • Drive impact by designing and building the needed infrastructure to deploy LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.

  • Develop agentic AI solutions that help solve complex VLSI engineering problems, fine tune & integrate them with CAD flow systems.

  • Make a difference by using AI technologies to help solve complex problems in chip design more efficiently.

  • Build and maintain design databases and dashboards that may use agentic and deterministic retrieval mechanisms to fetch pertinent engineering data expediting circuit design closure.

  • Collaborate with circuit design, layout, technology, and 3rd party EDA vendor teams distributed across geographies and time zones.

What we need to see:

  • Master's or PhD degree in Electrical Engineering, Computer Science/Engineering or equivalent experience.

  • 5+ years of proven industry experience in a related field.

  • Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.

  • Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.

  • Strong analytical, communication, and interpersonal skills, with a proven ability to thrive in dynamic, product-focused, and distributed teams.

  • A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.

Ways to stand out from the crowd:

  • Experience with Large Language Models (LLMs) and their applications in software and AI development

  • Proficiency in standard methodologies for software development, including version control, testing, and CI/CD.

  • Deeply interested in learning disparate concepts and putting them together in innovative new ways.

  • Prior experience with circuit design, HW design is a plus.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

#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 July 18, 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

Hours and flexibility

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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