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Senior ASIC Verification Engineer

NVIDIA

Senior ASIC Verification Engineer

NVIDIA

7 Locations

·

On-site

·

Full-time

·

1mo ago

Compensation

$136,000 - $264,500

Benefits & Perks

Comprehensive health, dental, and vision insurance

Flexible work arrangements

Parental leave

Generous paid time off and holidays

Healthcare

Flexible Hours

Parental Leave

Required Skills

Python

Node.js

JavaScript

**We are now looking for a Senior ASIC Verification Engineer!**NVIDIA is seeking an outstanding engineer to verify the design and implementation of the world’s leading GPU's, for deep learning, gaming, HPC and supercomputing. We offer the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.

We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. We as a team collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks.

What you’ll be doing:

  • In this position, you will be creating models, verifying functionality and performance of PCIe and CXL designs

  • Understand the design, define the verification scope, develop the verification infrastructure, and verify the correctness of the design

What we need to see:

  • BS or equivalent experience in Electrical Engineering, Computer Engineering, or Computer Science or related degree required, advanced degrees (MS, PhD)

  • 5 years of relevant work experience

  • Proficiency in verification languages (System Verilog or equivalent) and methodologies (UVM or equivalent)

  • Experience with verification tools such as VCS and Verdi

  • Good debugging and problem-solving skills

  • Strong communication skills are required

Ways to Stand Out From The Crowd:

  • Experience in PCIe strongly preferred, other high-speed IO protocol experience is desirable

  • Strong System Verilog or UVM experience

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 January 13, 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

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

4.1

10 reviews

Work Life Balance

3.5

Compensation

4.2

Culture

4.3

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

Cons

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

Salary Ranges

47 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

7 reports

$170,275

total / year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR