招聘
Benefits & Perks
•Equity
•Equity
Required Skills
Python
C++
UNIX
TCP/IP
Network fundamentals
Meta is looking for talented, highly motivated university students for our Network Engineering team. As a member of the team, you will work alongside experienced Backbone, Data Center, Production Engineers (Network) on a large-scale global network.
This will be your network and it is constantly growing. Your primary function will be to ensure that the network and its related services are reliable, robust and can scale to meet the challenges that serving over a billion users presents. Automation and continuous improvement are the keys to meeting our demands; you will be responsible for developing and deploying network designs, automation systems and network performance improvements into our production network.Do you feel that you can do more than what your network's growth allows? Do you want to solve problems that can only be seen in large scale environments? Do you want to work on one of the most dynamic, fast-paced networks in the world? Do you want to develop innovative solutions to our challenges and ship them into production? Then this is the role for you!
Network Production Engineer, Intern Responsibilities:
- Manage and maintain multi-vendor, multi-protocol datacenter and backbone networks
- Define, and develop optimized network monitoring and automation systems
- Partner alongside the best engineers in the industry on the coolest stuff around, the code and systems you work on will be in production and used to support billions of users all around the world
Minimum Qualifications:
- Currently has, or in the process of obtaining, a Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, or a related technical discipline
- Experience with computer networks
- Experience in UNIX, TCP/IP, network fundamentals, or similar
- Experience coding in at least one language (Python and C++ are all in heavy use)
- Ability to learn new concepts around network design and management
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
- Knowledge of routing protocols such as BGP, and ISIS
- Intent to return to full-time degree program after completion of the internship
- Experience working cross-functionally
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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