채용
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Parental leave
•Generous paid time off and holidays
•Equity
•Healthcare
•Parental Leave
Required Skills
React
TypeScript
JavaScript
Meta is seeking a forward thinking, experienced candidate to join the Hardware Design, Release to Production (HDRTP) team as a Foundation Labs Engineer. Our mission is to imagine, build and deploy industry-leading hardware systems to fuel Meta's products and services for billions of people around the world. Within our Labs, you'll have the opportunity to help deliver AI technology that is fueling Meta's products and services for billions of people around the world. Our team works in a fast-paced environment where change is constant, every day brings new challenges and collaboration is key.
Production Systems Engineer Responsibilities:
- Drive labs participation in program design, test, phase exit, and retrospective efforts
- Complex, open-ended troubleshooting and diagnostics for new hardware platforms
- Troubleshoot, repair, document, and provide feedback for Linux-based data center hardware platforms
- Work closely with remote hardware design and validation teams, and vendors to deploy and manage new server, storage, and networking products in the data center infrastructure
- Test and troubleshoot new hardware products and components with minimal documentation and direction
- Manage full lifecycle for lab hardware assets from provisioning through decommissioning
- Identify, characterize, and root cause hardware failures and error conditions
- Collaborate with hardware teams by running small scale experiments, collecting data, and providing feedback on failure symptoms for lab and production servers
- Drive cross-functional coordination & communication with other data center operations teams
- Lead efforts to deliver operational and serviceability feedback on new hardware platforms
- Serve as a local point of contact and subject matter expert regarding Lab activities and new hardware to operations staff
- Maintain an efficient, orderly hardware test lab operation within the production data center
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
- Experience communicating across multiple groups and types of work
- Experience influencing cross functional teams
- Experience managing technical projects with a high degree of ambiguity
- 2+ years experience in one or more of the following core areas: Capacity Planning, Networking, Project Management, Tooling and Automation, Hardware Design, Systems Administration, Hardware Validation (NPI), or Data Center Operations
- 2+ years of experience managing servers in a large-scale distributed environment
Preferred Qualifications:
- Hardware Debug Experience
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.
$118,000/year to $170,000/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 · 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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