Quality & Reliability Engineering Intern

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