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Manufacturing Test Engineer

Meta

Manufacturing Test Engineer

Meta

Fremont, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$144,000 - $144,000

Benefits & Perks

Equity

401(k)

Equity

401k

Required Skills

Python

Linux/Unix

Manufacturing Test

Test Development

We are seeking a candidate to develop, implement, and support the deployment of manufacturing functional test modules for Meta Open Compute & Storage, AI/ML, MTIA and Networking hardware. As part of the Operations Engineering team, the Manufacturing Test Engineer will work with our Test Framework Engineers, Product Quality Engineers (PQE), Manufacturing Quality Engineers (MQE), Component Quality Engineers (CQE), and with Facebook's manufacturing partners.

This is a full-time position and reports to the Manager of Manufacturing Test Engineering as part of Supply Chain and Engineering team.

This is a full-time position and reports to the Manager of Product Operations Engineering as part of the Sourcing and Operations Engineering team.

Manufacturing Test Engineer Responsibilities:

  • Develop and implement test modules for the manufacturing of Meta Open Compute Accelerator hardware
  • Engage with the Test Framework and Product adn component Quality teams in order to implement and execute the Manufacturing Test Requirements plan throughout the entire product lifecycle
  • Develop test plans, regression requirements, and test coverage assessment
  • Develop a scalable test implementation strategy that enhances the quality of the code and makes it maintainable with fewer resources with focus on automation, standardization, and continuous improvement
  • Analyze test data to optimize manufacturing test efficiency and test times
  • Understand product quality targets and help the cross functional team meet them by designing tests, establishing test parameters/thresholds, developing logging standards, and driving continuous improvement projects within Meta and at its manufacturing partners
  • Work with the global MQE team to drive root cause and corrective action for failures during rack integration and in the Data Center
  • Partner with the Product Quality Engineering team on new product introductions and develop test solutions to enable new technology
  • Work with Manufacturing Quality Engineering and Test Framework teams to deploy new test capabilities and provide training at ODM sites
  • 15% International/local travel is required
  • Flexibility and adaptability to work in a dynamic global environment

Minimum Qualifications:

  • BS, Electrical or Computer Science, or a related technical qualification
  • 5+ years' experience in deploying and supporting manufacturing test software in a high-volume manufacturing environment
  • Knowledge of Compute, Storage and network hardware architecture and technologies including test/debug methodologies
  • Knowledge of manufacturing test setup & operations, edge components like SFC, PLM, logging, etc
  • Experience developing manufacturing test solutions, working with open source stress applications as well
  • Coding experience in Python
  • Experience operating in Linux/Unix environments with knowledge of networking and network boot
  • Problem solving and communication skills
  • Knowledge of Software Development Lifecycle

Preferred Qualifications:

  • Demonstrated use of quality tools and methodologies in a manufacturing and/or engineering environment
  • Proven ability to proactively identify, define, and deliver new solutions
  • Track record of consistently advancing projects and seeking ways to maximize impact

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.

$144,000/year to $204,000/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