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WiFi SW Development Engineering Manager


Apple Inc.


Location

Cupertino, CA | United States


Job description

Do you want to build revolutionary networking system software? Do you want to make a huge impact to the WiFi industry? Do you love the challenge of solving sophisticated problems? If you're passionate about Wireless Technology, specially WiFi technologies, in the context of embedded software development and system-level integration, we may have the job for you.

Key Qualifications

Description

As core team member, you'll be responsible for crafting, improving and maintaining WiFi networking subsystem software across a range of Apple products including iPhone and iPad. Due to the multi-functional nature of the technology, the ideal candidate should have strong communication and interpersonal skills to work well with a large variety of people from organizations within and external to Apple. The candidate needs to show initiative, take ownership of a technical area, and assume responsibility for leading all the related aspects that need to be coordinated to achieve success. The candidate should also be able to make intelligent choices when taking into consideration product-level constrains including regulatory requirements, power consumption, and thermal footprint.

Education & Experience

Bachelor's degree in Computer Science or equivalent Masters Degree is preferred.

Additional Requirements

As core team member, you'll be responsible for crafting, improving and maintaining WiFi networking subsystem software across a range of Apple products including iPhone and iPad. Due to the multi-functional nature of the technology, the ideal candidate should have strong communication and interpersonal skills to work well with a large variety of people from organizations within and external to Apple. The candidate needs to show initiative, take ownership of a technical area, and assume responsibility for leading all the related aspects that need to be coordinated to achieve success. The candidate should also be able to make intelligent choices when taking into consideration product-level constrains including regulatory requirements, power consumption, and thermal footprint. Bachelor's degree in Computer Science or equivalent Masters Degree is preferred.


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