Quality & Reliability Engineering Intern

About the company

Meta

Software Development · 10,001+ employees

Meta's mission is to build the future of human connection and the technology that makes it possible.

Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive and intelligent experiences like virtual reality, wearables and AI to help build the next evolution in social technology.

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What you'll do

The intern will drive reliability test development, quality control procedures, and failure analysis for hardware issues.
They will also source data from disparate sources to create insight-rich dashboards for the leadership team.

What you need

Candidates must be pursuing a Bachelor's, Master's, or PhD degree in engineering or a related science field.
Proficiency in data science tools like Tableau, SQL, and Python, along with strong engineering fundamentals, is required.
Education: a bachelor's degree or a postgraduate degree

Key skills

Reliability engineeringQuality controlFailure analysisTableauJMPSQLPythonRData scienceMonte Carlo simulationsModellingForecastingMachine learningArtificial intelligenceHardware engineering

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Perks

Benefits

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Read the full posting here

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 Minimum 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 Preferred Qualifications 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 $6,688/month to $11,880/month + benefits