Perception Systems Software Engineer, Audio & Media Technologies

Apple·Cupertino, California, United States·posted 8d ago · last seen 25m ago

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About interviewing at Apple

One of tech's least standardized loops: you interview for a specific team, and every stage belongs to it. Recruiter/hiring-manager screen, one to three 45–60 minute Coderpad coding screens, a system design round shaped by Apple's reliability and privacy constraints, and a behavioral round — then a panel debrief. There is no central question bank; questions map to the team's real stack.

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Description

Summary

Imagine what you could do at Apple! Everyday, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you bring passion and dedication to your job? If so, we are looking for individuals like you. The Audio & Media Technologies group in Apple’s Software Engineering organization is building a Perception Systems team to develop a secure software architecture for multi-modal awareness on Apple platforms. This highly cross-functional team will work with experts across Apple who develop advanced machine learning AI algorithms that utilize input from cameras, microphones, and other sensors to enable future Apple products to better understand the world around them, while maintaining Apple’s industry-leading standards for privacy and security

Description

We are looking for highly motivated and passionate systems and algorithm software engineers to create a secure Perception Systems software architecture for Apple platforms. These roles will involve developing an algorithm execution runtime, real-time algorithms for camera, audio, and other sensors, and a corresponding system framework and APIs. This new framework will integrate with other system components and applications to enable new experiences on future Apple products.

Minimum Qualifications

Excellent software design/programming skills in Swift, Objective-C and/or C/C++. A passion for understanding end-to-end systems, from the user experience down to the hardware Experience with on-device ML frameworks, especially involving image and video processing An understanding of how to develop and debug multi-threaded software Proactive learning and a passion for learning new technologies

Preferred Qualifications

Experience with speech processing or speaker diarization Experience developing and using performance tracing, profiling, logging tools BS or MS in Computer Science or other related field or equivalent

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