FAQs
What is the role of a Production Systems Engineer Intern at Meta?
The Production Systems Engineer Intern will enhance and maintain existing tools and automation frameworks, define and implement frameworks for hardware products, collaborate with partner teams, interface with various teams, and analyze data from large-scale fleets.
What educational qualifications are required for this internship?
Candidates must be currently pursuing a Bachelor’s or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
What programming languages should I be familiar with before applying?
Applicants should have software development experience in any formal programming language, such as Python, Rust, Go, or Java.
Is knowledge of Linux/Unix environments necessary?
Yes, having knowledge of Linux/Unix environments is a required qualification for this internship.
Do I need work authorization to apply for this position?
Yes, candidates must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
What are some preferred qualifications for this internship?
Preferred qualifications include experience with object-oriented design and programming, hacking and prototyping experience, familiarity with hardware design and the NPI development lifecycle, and intent to return to a degree program following the internship.
Can I apply if I am not studying engineering?
The internship is primarily focused on candidates in engineering-related fields, specifically Electrical Engineering, Computer Engineering, or related areas.
What type of benefits does Meta offer to interns?
Meta provides various benefits along with compensation, the specifics of which can be found on their website.
Is this an in-person internship position?
The job posting does not specify whether the internship is in-person or remote, but it is advisable to inquire further about the work format when applying.
What type of projects will I work on as an intern?
Interns will work on enhancing automation frameworks, developing tools for hardware products, and analyzing large data sets, particularly in the AI space.