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Firmware Verification Engineer Jobs (NOW HIRING)

Redolent, Inc.

Design Verification Engineer

Santa Clara, CA · On-site

$159K - $195K/yr

We are seeking a skilled Design Verification Engineer to join our hardware engineering team. The ... Collaborate with design, architecture, and firmware teams to resolve issues. * Review ...

NextHop AI

Digital Verification Engineer

Santa Clara, CA · On-site

$160K - $196K/yr

Digital Verification Engineer Location: Santa Clara, CA Ladder: Silicon / Hardware Design Travel ... Partner with firmware / software engineers during system bring-up - validating register maps ...

NextHop AI

Digital Verification Engineer

Santa Clara, CA · On-site

$160K - $196K/yr

Digital Verification Engineer Location: Santa Clara, CA Ladder: Silicon / Hardware Design Travel ... Partner with firmware / software engineers during system bring-up - validating register maps ...

Actalent

Design Verification Engineer

Santa Clara, CA · On-site

$200K - $400K/yr

Sr. Design Verification Engineer We are seeking a Sr. Design Verification Engineer to help verify ... Verify interactions between hardware, firmware, software, and AI workloads across the platform.

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How much do firmware verification engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for firmware verification engineer in the United States is $167,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $205,000.00 per year, depending on experience, location, and employer.
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Senior Firmware Engineer - Development, Verification and Infrastructure

Nvidia

Santa Clara, CA • Hybrid

$140K - $185K/yr

Full-time

Re-posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

As a member of our NVLink Firmware Development and Verification team, you will be responsible for performing unit and integration-level firmware verification across both pre-silicon and post-silicon platforms. You will also help enable the firmware and verification infrastructure for our next-generation GPUs, which power high-performance interconnects in multi-GPU systems. Experience or familiarity with high-performance computing systems, interconnects, or networking protocols and architectures is a plus.

What you'll be doing:

  • Collaborate within a combined design and verification team to validate firmware features and functionality.

  • Develop verification plans, test cases, and correctness models (primarily in Python) to verify firmware functionality.

  • Drive silicon bring-up, feature enablement, and debug activities on GPU systems.

  • Work closely with architecture, hardware, and firmware teams on firmware enablement, design-for-debug, and validation strategies.

  • Triage and resolve firmware issues observed during customer qualification or in-field testing.

  • Log and track bugs, maintain coverage metrics, and perform gap analysis.

  • Develop and maintain automation tools and infrastructure to improve firmware development, regression, and verification workflows.

What we need to see:

  • BS or MS degree (or equivalent experience) in Electrical Engineering, Computer Science, or a related field.

  • Minimum 6+ years of experience in firmware or software verification.

  • Strong debugging and analytical skills.

  • Proficiency in Python, C, C++ and understanding of object-oriented programming.

  • Solid understanding of computer architecture, microprocessors, and microcontroller fundamentals.

  • Excellent collaboration and communication skills, with experience working across on-site and remote teams.

  • Positive attitude and strong team player; able to work effectively under tight schedules.

  • Software development or verification experience is a plus.

Ways to stand out from the crowd:

  • Passion for low-level software, firmware development, and debugging.

  • Hands-on experience with hardware/software interaction and embedded environments.

  • Familiarity with RTOS or RISC-V programming and debugging.

  • Proven ability to work independently with minimal supervision.

  • Strong execution discipline and ability to meet schedule commitments.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our NVLink design team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 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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