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Design Verification Engineer

Meta

Design Verification Engineer

Meta

Redmond, WA

·

On-site

·

Full-time

·

2w ago

Compensation

$114,000 - $114,000

Benefits & Perks

Equity

Bonus

Equity

Required Skills

SystemVerilog

UVM

C/C++

Python

TCL

Perl

Shell

Reality Labs focuses on delivering Meta's vision through AI-first devices that leverage our wearable technologies. The compute performance and power efficiency requirements require custom silicon. We are driving the state-of-the-art forward with highly integrated So Cs that leverage breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable Meta's Wearable devices that blend our real and virtual worlds throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.

Design Verification Engineer Responsibilities:

  • Define and implement verification plans, and build test benches for block, IP, sub-system, and SoC level verification
  • Develop functional tests based on verification test plan
  • Drive Design Verification to closure based on defined verification metrics on test plan, functional and code coverage
  • Collaborate with cross-functional teams like Design, Model, Emulation and Silicon validation teams towards ensuring the highest design quality
  • Debug, root-cause and resolve functional failures in the design, partnering with the Design team

Minimum Qualifications:

  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • 2+ years of hands-on experience in System Verilog/UVM methodology or C/C++ based verification
  • 2+ years experience in block/IP/sub-system and/or SoC level verification based on System Verilog UVM/OVM based methodologies
  • Experience in EDA tools and scripting (Python, TCL, Perl, Shell) used to build tools and flows for verification environments

Preferred Qualifications:

  • Experience with revision control systems like Mercurial(Hg), Git or SVN
  • Experience in architecting and implementing Design Verification infrastructure and executing the full verification cycle
  • Experience in development of Universal Verification Methodology (UVM) based verification environments from scratch
  • Experience verifying ARM/RISC-V based sub-systems and So Cs
  • Experience verifying CPU/GPU designs
  • Experience in one or more of the following areas: System Verilog Assertions (SVA), Formal, and Emulation
  • Track record of 'first-pass success' in Application-Specific Integrated Circuit (ASIC) development cycle

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 Whats App 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.

$114,000/year to $172,000/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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About Meta

Meta

Meta

Public

A social technology company that enables people to connect, find communities, and grow businesses.

10,001+

Employees

Menlo Park

Headquarters

$800B

Valuation

Reviews

3.4

26 reviews

Work Life Balance

2.3

Compensation

4.2

Culture

2.8

Career

3.1

Management

2.1

45%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Fast-paced and challenging work environment

Cons

Frequent layoffs and job insecurity

Poor leadership and management accountability

High stress and competitive work environment

Salary Ranges

40,175 data points

Mid/L4

Mid/L4 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

Interview Experience

6 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

17%

Experience

Positive 17%

Neutral 17%

Negative 66%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Coding Interviews

6

System Design Interview

7

Behavioral Interview

8

Final Loop/Hiring Manager Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Live Coding