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Asic Verification Jobs (NOW HIRING)

We are seeking an ASIC Verification Engineer with a solid ASIC/FPGA verification test strategy & development and debugging skills."The Network Infrastructure group is at the heart of a revolution to ...

ASIC Verification Engineer

Saratoga, CA · On-site

$140K - $200K/yr

  • Medical

  • PTO

Minimum of 5-10 years of experience in ASIC verification for complex digital systems * Deep expertise in SystemVerilog and strong working knowledge of VHDL for design and verification in mixed ...

NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and implementation of the world's leading SoC's and GPU's. This position offers the opportunity to have a real ...

NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and implementation of the world's leading SoC's and GPU's. This position offers the opportunity to have a real ...

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ASIC Verification information

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$88K

$156.1K

$207K

How much do asic verification jobs pay per year?

As of Aug 13, 2026, the average yearly pay for asic verification in the United States is $156,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,000.00 and $175,500.00 per year, depending on experience, location, and employer.

What is the difference between Asic Verification vs FPGA Verification?

AspectAsic VerificationFPGA Verification
Required CredentialsBachelor's/Master's in Electrical Engineering or Computer Engineering, knowledge of hardware description languages (HDL)Bachelor's/Master's in Electrical Engineering or Computer Engineering, HDL knowledge
Work EnvironmentDesign teams, hardware labs, simulation environmentsPrototyping labs, hardware testing, simulation
Industry UsageSemiconductor companies, chip design firmsPrototyping, FPGA-based product development
Common Search/ComparisonAsic Verification vs FPGA Verification

Asic Verification and FPGA Verification share similar skills, such as HDL knowledge and hardware testing. However, Asic Verification focuses on validating integrated circuit designs before manufacturing, often involving complex simulation and formal verification. FPGA Verification involves testing programmable hardware prototypes, emphasizing rapid prototyping and hardware-in-the-loop testing. Both roles are essential in hardware development but differ in scope, environment, and end goals.

What are the key skills and qualifications needed to thrive as an ASIC verification engineer?

To thrive as an ASIC Verification Engineer, you need a strong background in digital design, verification methodologies, and hardware description languages such as Verilog or VHDL, often supported by a degree in electrical engineering or a related field. Familiarity with industry-standard verification tools like UVM, SystemVerilog, and simulation or formal verification environments is typically expected. Analytical thinking, attention to detail, and effective communication are essential soft skills for diagnosing complex issues and collaborating with design teams. Mastery of these skills ensures high-quality, error-free ASIC designs and efficient project delivery in a highly technical environment.

What is ASIC verification?

ASIC verification is the process of ensuring that an Application-Specific Integrated Circuit (ASIC) design functions as intended before it is manufactured. It involves using simulation, formal methods, and other verification techniques to catch and correct design errors early, which helps prevent costly mistakes during chip fabrication. Verification engineers create test environments and write testbenches to simulate the ASIC's behavior under different scenarios. This step is critical in the chip design flow, as it directly impacts the quality, reliability, and performance of the final product.

What are some common challenges faced in ASIC verification, and how can new team members effectively overcome them?

A common challenge in ASIC Verification is ensuring comprehensive test coverage to catch subtle design bugs before production. New team members often need to quickly familiarize themselves with complex verification environments and tools such as UVM, SystemVerilog, and simulation platforms. Collaborating closely with design engineers and participating in regular code and coverage reviews can accelerate learning and help resolve issues efficiently. Seeking mentorship from experienced colleagues and actively engaging in team discussions also aids in navigating verification complexities.
More about ASIC Verification jobs
What cities are hiring for Asic Verification jobs? Cities with the most Asic Verification job openings:
What are the most commonly searched types of Asic Verification jobs? The most popular types of Asic Verification jobs are:
What states have the most Asic Verification jobs? States with the most job openings for Asic Verification jobs include:
What job categories do people searching Asic Verification jobs look for? The top searched job categories for Asic Verification jobs are:
Infographic showing various Asic Verification job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $156,077 per year, or $75 per hour.

Senior ASIC Verification Engineer

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 18 hours 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

NVIDIA is actively searching for talented Senior Verification Engineers to ensure the integrity and excellence of our industry-leading SoCs and GPUs. Joining this team means stepping into a dynamic, innovation-driven environment where your contributions will shape products spanning consumer graphics, autonomous vehicles, and the rapidly evolving realm of artificial intelligence. Our global team is dedicated to redefining the boundaries of technology, working collaboratively to advance what's possible today and set the foundation for tomorrow's computing platforms.

We are a team of hardworking engineers working across the micro-architecture, design, verification, implementation, and post silicon validation of groundbreaking NVIDIA automotive and gaming console chips. We specifically focus on the backbone IPs for an ARM based System on-chip.

What You'll Be Doing:

  • As a key member of our ASIC Verification team, you will verify the design and implementation of the industry's leadingSoCs, ensuring first-pass silicon success.

  • Lead the verification of the ASIC design, architecture, golden models, and micro-architecture using sophisticated methodologies such asUVM.

  • Deeply understand the design, define the verification scope, and develop robust verification infrastructure to verify the correctness of complex logic.

  • Collaborate with architects, designers, and both pre- and post-silicon verification teams to drive comprehensive coverage.

  • Innovate by bringing AI and LLM-driven workflowsinto the verification cycle to optimize testbench generation, debug productivity, and coverage closure.

What We Need to See:

  • BS or equivalent experience in Electrical Engineering, Computer Engineering, or Computer Science; advanced degrees (MS, PhD) are a plus.

  • 8+ years of experiencein ASIC verification-related fields at both the IP and SoC level.

  • Proven experience inbuilding UVM testbenches from scratchand applying constrained random methodology in a production environment.

  • High proficiency inC/C++with the ability to develop architectural golden models and hardware-software co-verification tests.

  • Deep domain knowledge inLow-Speed IOs (QSPI, UART, I2C),AXI/APBinterconnects,DMAcontrollers, andMemory Controllers.

  • Expert skills inassertion-based design checks (SVA), code coverage, functional coverage, and formal test plan documentation.

  • Strong debugging and analytical skills with a methodical approach to resolving complex SoC-level corner cases.

  • Professional-grade scripting abilities inPython, Perl, or TCLto automate build flows and regressions.

Ways You Can Stand Out from the Crowd:

  • AdvancedUVMarchitecture knowledge and large-scaleSoC verificationexperience is a plus!

  • A forward-thinking mindset with a demonstrated ability touse AI toolsto accelerate engineering tasks.

  • Experience with Testbench Build flows, Makefiles, and version control (Perforce).

  • Ambitious, highly motivated, and a strong desire to work as a collaborative teammate in a fast-paced environment.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from 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 17, 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.

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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