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Verification Researcher Jobs in California (NOW HIRING)

Nvidia

ASIC Verification Engineer

Santa Clara, CA · Hybrid

... research experience * Strong history of working on verification methodology, creating reusable ... verification components * Knowledgeable in verification using random stimulus along with functional ...

Etched

Formal Verification - DV

San Jose, CA · On-site

$2.0K/mo

You will drive formal verification across the custom IP, interface IP, and SoC subsystems that ... We do not have boundaries between engineering and research, and we expect all of our technical ...

Etched

Formal Verification - DV

San Jose, CA · On-site

$2.0K/mo

You will drive formal verification across the custom IP, interface IP, and SoC subsystems that ... We do not have boundaries between engineering and research, and we expect all of our technical ...

Talencore

Sr. RTL Verification Engineer

Redwood City, CA · On-site

$166K - $203K/yr

Comfortable working in a fast-paced, research-driven startup environment. Nice to Have: * Scripting ... Hands-on experience with verification frameworks (UVM, Cocotb, or similar). * Exposure to FPGA ...

Qualcomm

GPU Design Verification Engineer

San Diego, CA · On-site

$161.80 - $273.40/hr

Responsible for verification of Graphics IP, and performing pre- and post-silicon verification to ... Research through available resources and engagement with various inter‑disciplinary teams.

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$29.6K

$111.6K

$162.3K

How much do verification researcher jobs pay per year?

As of Aug 13, 2026, the average yearly pay for verification researcher in California is $111,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What is a verification researcher?

A Verification Researcher is responsible for developing and applying formal methods, mathematical proofs, and automated verification techniques to ensure the correctness of hardware or software systems. They work on verifying algorithms, protocols, or complex designs to detect errors before implementation. This role often involves using formal verification tools, model checking, and theorem proving. Verification Researchers collaborate with engineers and developers to improve system reliability and security. Their work is crucial in industries like semiconductor design, cybersecurity, and safety-critical systems such as automotive or aerospace.

What are the typical daily responsibilities of a verification researcher?

As a Verification Researcher, your daily tasks usually include designing and executing tests or experiments, reviewing documentation, analyzing results to identify inconsistencies or errors, and reporting findings to development or engineering teams. You may also participate in meetings to refine verification strategies, collaborate closely with product designers, and help establish best practices for quality assurance. The role often involves using specialized software tools and keeping up with evolving verification methodologies. This variety ensures you stay engaged and continuously contribute to the improvement of products or systems. You'll have opportunities to grow your expertise in testing and validation while making a meaningful impact on your organization's reliability standards.

What are the key skills and qualifications needed to thrive in the verification researcher position, and why are they important?

To excel as a Verification Researcher, you should possess strong analytical skills, attention to detail, and a relevant degree such as in engineering, computer science, or a related field. Familiarity with verification tools and methodologies (such as formal verification software, simulation environments, or industry certifications like ISTQB) is often required. Excellent communication, critical thinking, and collaboration abilities help you work effectively within multidisciplinary teams. These competencies are essential for ensuring the accuracy, reliability, and compliance of products or systems being verified.

What are popular job titles related to Verification Researcher jobs in California?

For Verification Researcher jobs in California, the most frequently searched job titles are:

What job categories do people searching Verification Researcher jobs in California look for?

The top searched job categories for Verification Researcher jobs in California are:

Verification Researcher jobs near you
Infographic showing various Verification Researcher job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $111,621 per year, or $53.7 per hour.

Design Verification Engineer - AI Accelerators

Meta

Sunnyvale, CA

$178K/yr

Full-time

Re-posted 3 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Reality Labs focuses on delivering Meta's vision through Augmented Reality (AR) and Smart Devices. Compute power requirements of these devices require custom silicon. Meta’s Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR devices where our real and virtual world will mix and match throughout the day, and smart devices that provide assistance and enhanced capabilities in our day-to-day activities. We believe the only way to achieve our goals is to look at the entire stack, through algorithms to architecture, transistors to firmware. As a Design Verification Engineer at Meta’s Reality Labs, you will work with a multidisciplinary group of researchers and engineers, and use your digital design and verifications skills to implement the testing infrastructure to validate new core IP implementations and contribute to development and optimization of state of the art machine learning algorithms. You will work closely with researchers, architects and designers in creating test bench requirements and test cases for multiple state of the art machine learning IPs.
Design Verification Engineer - AI Accelerators Responsibilities:
  • Work with cross-functional leads, including product managers, systems architects, researchers, and software architects, to develop industry leading Machine Learning IP’s optimized for Mixed Reality and Smart Devices and use-cases, defining verification methodologies for each of the different core IPs
  • Define, track, and lead the execution of detailed test plans for the different modules and top levels
  • Implement scalable test benches including checkers, reference models, assertions in System Verilog
  • Drive Design Verification to closure based on defined verification metrics on test plan, functional and code coverage
  • Collaborate with cross-functional teams such as Design, Model, Emulation and Silicon validation teams towards ensuring design quality targets are met across pre- and post-Silicon product lifecycle
  • Support hand-off and integration of developed subsystems/IP blocks into larger SOC environments
  • Develop and drive continuous Design Verification improvements using the latest verification methodologies, tools and technologies from the industry

Minimum Qualifications:
  • 10+ years of hands-on experience in SystemVerilog/UVM methodology and C/C++ based verification
  • 10+ years of experience in IP/sub-system and/or SoC level verification based on SystemVerilog UVM/OVM based methodologies
  • Experience in one or more of the following areas along with functional verification - SV Assertions, Formal, Emulation
  • Experience in EDA tools and scripting (Python, TCL, Perl, Shell) used to build tools and flows for verification environments
  • Track record of 'first-pass success' in ASIC development cycles
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:
  • Masters in Electrical Engineering or Computer Science
  • 5+ years of experience with Design verification/validation of machine learning applications and accelerators
  • 5+ years of experience with Software/Hardware Co-design at firmware, ISA, and application level
  • 5+ years of experience with low power design
  • 5+ years of experience in verification of numerical compute based designs
  • Experience with revision control systems like Mercurial(Hg), Git
  • FPGA/emulation debug experience

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$178,000/year to $250,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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