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SVP, Software Engineering

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Software Engineer - Early Career (Front-end)

Apple is a technology company whose advertising platform helps customers discover content while supporting creators and protecting user privacy. The Software Engineer - Early Career (Front-end) will develop and optimize user interfaces for Apple Ads, collaborating with product, platform, and UX engineers to create scalable, engaging experiences.

Software Engineering Manager - ASE Media Processing Infrastructure

Apple creates products, services, and customer experiences used by millions worldwide, including media offerings such as Apple TV, Apple Music, and Apple Podcasts. The Software Engineering Manager will lead the team responsible for workflow and distributed transcoding infrastructure, owning its technical strategy, roadmap, and architecture while managing team growth and engineering execution. The role also focuses on scaling reliable media-processing systems and advancing the adoption of generative and agentic AI tooling.

Senior Engineering Program Manager, ASE Central Quality - Private Cloud Compute

Apple is seeking a Senior Engineering Program Manager to support the quality and trust of its Private Cloud Compute infrastructure powering Apple Intelligence. The role drives test strategy, QA sign-off, release readiness, and cross-functional quality programs across software, machine learning, SRE, datacenter, and Apple Silicon systems.

US-Pro

Apple Retail is where the best of Apple comes together. As a Pro, you’re the most knowledgeable and effective salesperson in the store, offering customized solutions and mentoring the store team to enhance customer interactions and drive brand loyalty.

Apple Retail is where the best of Apple comes together. As a Pro, you’re the most knowledgeable and effective salesperson in the store, offering customized solutions and mentoring the store team while driving brand loyalty through customer interactions.

On-Device ML Infrastructure Engineer (CoreML Runtime)

Apple develops on-device machine learning infrastructure that enables efficient, private AI execution across Apple devices. The On-Device ML Infrastructure Engineer will build and optimize Core ML graph compilation and runtime systems, develop system software and kernels for Apple Silicon, and improve machine learning model execution.

On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning

On-device ML Performance Engineer, Graphics, Games and Machine Learning

Apple develops hardware and software platforms powered by on-device machine learning. The On-device ML Performance Engineer will analyze and optimize machine learning model performance across Apple Silicon, focusing on latency, memory, power, numerical correctness, and inference efficiency. The role also involves developing performance tools, collaborating across hardware and software teams, and presenting performance data to stakeholders.

Apple develops hardware and software platforms, and its On-Device ML Performance team enables machine learning models to run efficiently on Apple devices. This engineer will analyze and optimize ML model performance, memory, power, and numerical correctness across Apple Silicon, while developing model conversions, scripts, utilities, and debugging tools and collaborating across hardware and software teams.

Software Engineer Simulation Infrastructure

Apple is an innovation-focused technology company developing products, services, and experiences. The Software Engineer will build and improve simulation infrastructure for large-scale integration testing across virtual devices and physical hardware, including launcher, runtime, frontend, backend, and database components. The role also involves supporting AI/ML simulation projects, improving platform efficiency and quality, and collaborating across teams.

Applied Data Scientist and Visualization Specialist - Hardware Engineering Product Design

Apple is seeking an Applied Data Scientist and Visualization Specialist to join its Hardware Engineering Data Science and Visualization team. The role focuses on analyzing diverse datasets, applying statistics and machine learning, developing interactive visualizations and data-centric tools, and communicating insights to cross-functional and non-technical audiences.