Software Engineer Manufacturing Systems and Infrastructure

Job description

**Weekly Hours:** 40
**Role Number:** 200611102-3543

**Summary**
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'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

**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.

**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

**Pay & Benefits**
At Apple, base pay is one part of our total compensation package and is determined within a range.

This provides the opportunity to progress as you grow and develop within a role.

The base pay range for this role is between $163,300 and $245,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.

Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.

You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition.

Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Learn more about Apple Benefits.

(https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Required Skill Profession

Other General