Quality & Reliability Engineering Intern

Meta • Advertising • Virtual & Augmented Reality • Bachelor's Degree • Python • SQL • Tableau • 1 day ago
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Salary
≈ $70k – $141k per year (Estimated)
Location
In office (Sunnyvale)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 15, 2026. Meta scores B on the Alion truth index.

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Meta

Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
meta.com • HQ: Menlo Park, United States • Digital Media • Foundation Models • Advertising • Virtual & Augmented Reality • Consumer Internet Groups • Messaging Apps • Social Networks • 5000+ employees • Est. 2004
Tech stack of Meta
Backed by SV Angel, VCSheet, Valueaddvc
At Reality Labs, our goal is to explore, innovate and design the hardware for the next generation of virtual, augmented, and mixed reality experiences. We are seeking a motivated Quality & Reliability (Q&R) engineering intern to join our team at Meta Reality Labs. As a Q&R Engineering intern you will drive quality control procedure development, reliability test development and specification research, and failure analysis (FA) for hardware issues, bringing together information from multiple sources to develop insight-rich dashboards.

Our internships are twelve (12) weeks long.

Responsibilities

Drive reliability test development and specification research Formulate quality control procedures and sampling plans Source quality and reliability data from disparate sources to create insights Develop dynamic and durable dashboards that are derived from evolving datasets Present insights to leadership team

Qualifications

Currently possessing or pursuing a Bachelor's degree in engineering or science: reliability engineering, materials science, mechanical engineering, chemical engineering, electrical engineering, industrial engineering, physics or a related field Basic fundamentals in engineering principles Basic fundamentals in data science skills and basic programming: particularly in Tableau, JMP, SQL, Python / R and Google suite Ability to work independently and as part of a team Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment Intent to return to degree-program after the completion of the internship/co-op Currently possessing or pursuing a Masters/PhD degree in engineering or science: reliability engineering, materials science, mechanical engineering, chemical engineering, electrical engineering, industrial engineering, chemistry, physics or a related field Familiarity with quality or reliability engineering principles Experience with Monte Carlo simulations, modelling tools and forecasting techniques Experience with advanced data science, database or ML/AI tools

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