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Manufacturing Systems and Infrastructure (MSI) team is an engineering organization under the Product Operations org. MSI is responsible for the design, development, and maintenance of systems tools, services, and applications required to efficiently run manufacturing operations at scale across global factory sites.

Description

As a Full Stack AI systems Engineer on the MSI team, you will design, build, and evolve web applications and services that empower Manufacturing Operations. You will work closely with engineers to understand their workflows and challenges, translate those needs into effective technical solutions, and take features from early concept through production. Your work will span the user experience, backend services, APIs, data flows, and AI capabilities that power these tools.

We care deeply about the user experience and think in systems: how components fit together, where the right abstractions belong, and how today's decisions shape tomorrow's roadmap. You will apply AI thoughtfully as part of the overall product experience and use modern development tools, including LLM-powered tools, to improve delivery while maintaining a high bar for quality, reliability, and architecture. Because this work involves close collaboration with our users and partners, the ideal candidate combines strong engineering judgment with curiosity, communication, and ownership.","responsibilities":"Own features and applications from problem definition and technical design through implementation, deployment, adoption, and continuous improvement.

Design and build production-quality full stack applications, including user interfaces, backend services, APIs, data models, and integrations.

Develop AI-powered and agentic capabilities that connect with engineering data and tools to support multi-step workflows and tasks.

Shape application architecture and maintain high standards for scalability, reliability, security, testing, observability, and user experience.

Collaborate across teams, incorporate user feedback, and contribute reusable tools, patterns, and technical guidance.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.

Experience delivering production software through the full software development lifecycle, from requirements and system design to implementation, testing, deployment, and ongoing support.

A genuine passion for systems architecture thinking, and a habit of reasoning about how components, data, and services fit together at scale

Experience using AI coding tools such as Claude Code or Continue to enhance the development workflow and accelerate delivery while maintaining code quality and architectural standards

Experience integrating LLMs or ML services into production applications, for example prompt design, retrieval augmented generation, agentic workflows, or model backed features

Familiarity with message and job queues such as RabbitMQ, Kafka, and with distributed systems

Experience with cloud platforms and containerization tools such as Docker and Kubernetes

Strong understanding of UX and UI design principles.

Minimum Qualifications

Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

3+ years of experience delivering production software through the full software development lifecycle, from requirements and system design to implementation, testing, deployment, and ongoing support.

Strong foundation in software engineering principles, including architecture, API and data design, testing, debugging, security, reliability, performance, and maintainability.

Experience building full stack applications and the ability to work effectively across user interfaces, backend services, integrations, and data systems.

Experience using modern development tools, including AI-assisted coding tools, while applying sound engineering judgment to review, validate, and improve generated code.

Experience with cloud platforms (AWS, Azure, or GCP), Kubernetes, Docker, CI/CD, and Infrastructure as Code.

Demonstrated ability to understand complex user workflows, translate them into practical technical solutions, and collaborate across teams to deliver measurable outcomes.

Excellent communication and collaboration skills, with the ability to translate technical concepts into clear, business focused insights.

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 $150,400 and $225,300, 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

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

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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