About The Position

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple products are as alluring on the inside as they are on the outside. Inside every one of our products, are some of the world's most challenging consumer PCBA and Flex designs. Imagine yourself as a select member of the team that brings these assemblies from concept to high volume manufacturing.Join a team focused on automating the perfection of Apple's products Being creative to making sure environmental impact is a priority in Apple's design decisions Craft transformative tools to drive design intelligence at Apple Enable inspiring product design by leveraging data-driven insights to designers Work with a diverse array of data types spanning geometric data, image data, network/graph data, time-series Opportunities to work on algorithms, models, web-app development Challenge the historical methods of doing things. Support development of automated ECAD and DRC checks based on field learnings. Develop automated tools to improve the efficiency of the design review and manufacturing process. Create dashboards and other data product deliverables to summarize large data sets. Maintain and continually improve data quality of complex, high volume data systems.Ability to work with a cross-functional team to define requirements and suitable metrics for the performance of new products and software tools

Requirements

  • Expertise in processing, transforming, and visualizing structured/unstructured data
  • Proficiency with web technologies, HTML, and web APIs
  • Understanding of ML and deep learning or reinforcement learning models
  • Experience with cloud computing systems and containerization
  • Familiarity with DevOps practices, Agile methodologies, and Git version controlArray

Responsibilities

  • Support development of automated ECAD and DRC checks based on field learnings.
  • Develop automated tools to improve the efficiency of the design review and manufacturing process.
  • Create dashboards and other data product deliverables to summarize large data sets.
  • Maintain and continually improve data quality of complex, high volume data systems.
  • Ability to work with a cross-functional team to define requirements and suitable metrics for the performance of new products and software tools

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What This Job Offers

Industry

Computer and Electronic Product Manufacturing

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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