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Apple Inc. in Sunnyvale, California is seeking a Software Engineer to join Platform Reliability Engineering for AiDP.
You will design, build, and operate scalable, multi-tenant systems for GenAI, ML, and big data workloads, leveraging hybrid cloud environments and open source technologies to ensure reliability and performance. The role involves incident response, on-call rotations, cross-team collaboration, and driving observability and resilience.
Sunnyvale, California, United States Corporate Functions
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. The Applied Machine Learning team in AI and Data Platform organization is building the foundation for Apple's enterprise-wide machine learning and data capabilities. Our Applied Machine Learning team designs, builds, and operates mission-critical platforms and services spanning ML, GenAI, inference, and big data - enabling teams across the company to harness AI and analytics at scale. We tackle complex technical challenges in reliability, performance, and scalability across a diverse ecosystem of open source and cutting-edge technologies, serving some of Apple's most demanding workloads.
We're seeking an experienced software engineer to join our Platform Reliability Engineering team and drive the design, operation, and optimization of large-scale distributed systems that power our GenAI, ML, and big data platforms. You'll leverage cutting-edge open source technologies in hybrid cloud environments to build resilient infrastructure that enables seamless inference, data processing, and machine learning workloads at scale. In this role, you'll own mission-critical platform components, respond to production incidents, and collaborate across teams to shape the future of our data and AI infrastructure.
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 $184,700 and $277,600, 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.
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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
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Apple accepts applications to this posting on an ongoing basis.