채용
Benefits & Perks
•Professional development budget
•Comprehensive health, dental, and vision insurance
•Flexible work arrangements
•Generous paid time off and holidays
•Learning
•Healthcare
•Flexible Hours
Required Skills
React
TypeScript
PostgreSQL
This is a high-impact leadership role for a Manufacturing. Test Engineering Leader with experience of building world-class AI/ML hardware infrastructure. You will support the quality vision, drive innovation in test development to support new product introduction, and ensure our products set the standard for reliability and performance in the industry
Manager, Manufacturing Test & Automation Engineering Responsibilities:
- Lead the development, implementation and maintenance of Meta's custom hardware testing framework for factory deployment, ensuring scalability, reliability, and alignment with evolving product features and requirements
- Translate product engineers' test specifications into robust, executable test suites, guiding the team to deliver high-quality test solutions to support New Product Introduction schedules
- Responsible for deployment of test suites and frameworks at factory sites, coordinating with Original Design Manufacturers and providing technical support and troubleshooting for deployed solutions
- Manage and mentor a multidisciplinary team specialized in hardware testing and automation, fostering professional growth and technical subject matter expertise
- Encourage innovation, collaboration, and continuous improvement to build a motivated and high-performing team
- Effectively communicate project status, risks, and outcomes to leadership and key stakeholders, ensuring transparency and alignment
- Collaborate with various cross-functional teams, including hardware quality engineering, component quality engineering, technical program management, and Supply Chain, to ensure quality is integrated into all aspects of the product development process
- Track and communicate team OKR and success metrics to stakeholders
Minimum Qualifications:
- Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related technical field
- Extensive experience collaborating with Original Design Manufacturers (ODMs), contract manufacturers, and component suppliers for data center server accelerator products such as GPUs or AI accelerators
- 10+ years of experience in hardware testing, automation, or related technical domains
- Minimum of 5 years of demonstrated leadership and team management experience
- Expertise in Linux operating systems and hardware testing frameworks
- Proficiency with automation tools and scripting languages, including Python and Bash required
- Proficiency in data analysis and SQL is required
- Proven communication skills with the experience working effectively with a broad set of stakeholders
- Experience with manufacturing processes and factory deployment is expected
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.
$208,000/year to $289,000/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
PublicA 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 · Product Designer
1,471 reports
$273,432
total / year
Base
$180,290
Stock
$72,619
Bonus
$20,523
$186,170
$416,421
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
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