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Quality & Reliability Engineering Intern

MetaSunnyvale, CAOn-siteInternshipListed 3 hours ago

DisciplineMEMechanical
TypeInternship
LocationSunnyvale, CA
Work modelOn-site
DegreesBS · MS · PhD
Listed

About this role

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