Materials Engineer, Packaging Product Design

When was the last time you enjoyed a box as much as the product inside? At Apple, every customer interaction is an opportunity for surprise and delight! This philosophy extends beyond the product to its packaging, where every detail is thoughtfully considered. The Packaging PD team is a diverse group of people responsible for the design and execution of structural packaging for all Apple products — from shippers to finished goods boxes. Our packaging delivers an outstanding customer experience, while protecting products throughout the shipping environment, and advancing Apple's sustainability goals. We collaborate with a wide range of teams including Industrial Design, Marketing, Environmental, Operations, and many others during the design process.

Description

We are seeking someone who approaches problem-solving with passion, creativity, and curiosity. Apple's approach to packaging is unique, so we value people who are eager to learn new skills and further improve their knowledge of packaging design, manufacturing processes, and sustainable materials. We welcome fresh influences from outside the standard packaging industry to promote innovation in creative ways.

Minimum Qualifications

6+ years of relevant industry experience
BS in Materials Science & Engineering, Polymer Science, Fiber Science, Chemical Engineering, or Mechanical Engineering
Strong knowledge of material science fundamentals
Strong analytical/creative problem-solving skills; ability to use statistical tools and techniques
Effective verbal and written presentation skills, able to present technical details succinctly
Ability to travel internationally, up to 20%

Preferred Qualifications

Experience working with contract manufacturers and vendors from concept to manufacturing in mass-production
Experience developing materials with a wide range of performance requirements
Working knowledge of analytical techniques to characterize materials
Experience with paper, fiber, inks, coatings, or bio-based materials
Data-driven approach to solving complex problems