Jobs
Benefits & Perks
•Equity
•Bonus
•Equity
Required Skills
Silicon reliability
CMOS device physics
Failure analysis
Reliability modeling
Statistical analysis
Leadership
Reality Labs is focused on ensuring the highest quality and reliability of our advanced silicon products. We are seeking a Lead Silicon Reliability Engineer to drive reliability strategies and lead efforts to deliver robust silicon solutions.
Silicon Reliability Engineer Responsibilities:
- Lead the development, execution, and continuous improvement of silicon reliability qualification strategies aligned with industry standards and customer requirements
- Act as the technical authority, holding in-depth subject-matter knowledge for silicon reliability across the organization
- Collaborate with suppliers, product engineering, design, packaging, process, and test teams to influence design-for-reliability early in product development
- Work with development partners and OSATs to align qualification methodologies and reliability expectations
- Define and oversee reliability test plans including HTOL, HAST, TC, HTS, EM, TDDB, NBTI, and other stress tests
- Lead failure analysis and root cause investigations using advanced tools such as TEM, SEM, FIB, and EMMI
- Work with suppliers to ensure complete and accurate documentation of reliability test plans, procedures, and reports
- Contribute to internal training and knowledge sharing
Minimum Qualifications:
- M.S. in Electrical Engineering, Materials Science, Physics, or related field with 8+ years of relevant work experience
- Proven leadership in silicon reliability for high-volume consumer, automotive, or high-performance computing products
- Demonstrated understanding of CMOS device physics, aging mechanisms (NBTI, HCI, TDDB), failure analysis techniques, and reliability modeling
- In-depth knowledge of JEDEC and other relevant industry standards
- Hands-on experience with statistical data analysis tools
- Proven communication and leadership skills in influencing cross-functional teams and upper management
Preferred Qualifications:
- 15+ years of experience in semiconductor reliability engineering, with a focus on advanced silicon technologies
- Experience in semiconductor device physics research and reliability modeling
- Experience working with foundries (e.g., TSMC, Samsung, Intel) and advanced process nodes (e.g., 5nm, 3nm)
- Experience in advanced packaging technologies System-in-Package, 3D, 2.5D packaging
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.
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 · 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
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