Data Platforms Engineer - Manufacturing Systems and Infrastructure
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Apple's Manufacturing Systems and Infrastructure (MSI) team is responsible for capturing, consolidating and tracking all manufacturing data for Apple's products and modules worldwide. We are a multi-functional team, tackling challenging software engineering problems across a broad range of Apple manufacturing services. You'll be leading innovation by exploring, investigating, recommending, benchmarking and implementing full stack technologies for the platform. This data is used throughout the company and the product's lifecycle: from the very beginning, to validate that units being built are fully tested and of high quality before leaving the factory, all of the way through to warranty support for customers.
Apple's MSI team is seeking a Software Engineer with a strong passion for building innovative platform solutions, specializing in GenAI data frameworks, and a deep appreciation for delivering exceptional user experiences.
Description
In this role, you will be responsible for defining and developing scalable, cloud-native data platform solutions and frameworks, with a focus on managing both structured and unstructured data to enable generative AI-powered applications within Apple Product Operations.
You will be responsible for architecting, developing, and maintaining large-scale systems, pipelines, storage solutions, and data quality services.
You will collaborate with diverse cross-functional partners, including business teams from product operations, HW engineering, machine learning engineers, data scientists, application developers and product managers.
You will have the opportunity to learn and work on the latest technologies, lead POCs to demonstrate new ideas and influence the future direction of our technology stack and solutions development
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Preferred Qualifications
Strong software development, problem-solving, and debugging skills, with proficiency in one or more of the following languages: Python, Java, Scala, or Go
Deep expertise in Big Data technologies such as Apache Spark, Kafka, Hive, Iceberg, Trino, Airflow, or Flink
Experience building cloud-native platforms using containerization technologies (Kubernetes, Docker, Helm) and hands-on knowledge of AWS, GCP, or Azure
Proven ability to manage data at scale, including pipeline optimization, validations, and data quality measures
Experience working with Generative AI models and implementing robust data strategies to support LLM-based applications
Exposure to front-end/UI technologies is a plus
Skilled at quickly analyzing and simplifying complex problems into clear, practical solutions
Self-directed, motivated, and detail-oriented, with the ability to design effective solutions and perform thorough production issue analysis
Ability to thrive in cross-functional teams on high-profile, critical projects
Proactive in exploring alternate technologies and innovative approaches to problem-solving
Strong people management capabilities and excellent collaboration skills across teams
Minimum Qualifications
8+ years of experience in developing large-scale distributed computing systems, including work on Generative AI initiatives, with 2+ years in a technical leadership or management role is a plus.
BS or MS degree in Computer Science, Mechanical Engineering, or related field.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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