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Senior Software Engineer - Home Ecosystem (Frameworks), Wireless Technologies & Ecosystems

Apple - Cupertino, United States of America

Posted Nov 8, 2025

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Learning budget
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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Weekend work
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About this role

Senior Software Engineer - Home Ecosystem (Frameworks), Wireless Technologies & Ecosystems Cupertino, United States of America Join WTE and the iOS DockKit Team and tackle the mission of making iOS the best Perception Algorithm development platform. Our team delivered the DockKit Framework for Motorized Camera stands recently, and we are looking to expand the team in the intersection of DockKit Accessories, Algorithms, Experiences. You will be joining a team with a history of impactful features, so if you like to ship, we want to work with you As a Sr. Software Engineer, you will be one of the core developers responsible for a new framework and daemon suite , and have ownership of the iOS platform software from prototype to deployment. In this role you will have an impact on the current state of the final Features from initial concept to highly reliable software solutions. Minimum Qualifications: Bachelor's degree in Computer Science or equivalent. Experience with integrating AI Tools into software development life cycle. In-depth knowledge of memory management, inter-process communication (latency/fault tolerance/security). Experience in handling real-world issues related to multi-device communication, focusing on threading, processor priorities, and interface optimization. Strong software engineering skills with a track record of delivering clean, well-tested, and optimized code Excellent programming skills in one or more programming languages (Swift/Obj-C/C++) Preferred Qualifications: Experience in Apple platform development, including daemon development, frameworks, and inter-process communication techniques. Experience with applying machine learning models and integrating models into system services, sensor fusion algorithms, and perception systems is highly

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