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Networking and Realtime Streaming Engineer

Apple
Posted 4 months ago, valid for a month
Location

Cupertino, CA 95015, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple is seeking a motivated Networking and Realtime Streaming Engineer to join their Real-Time Networking team.
  • The role involves designing and implementing features for Apple's real-time networking stack, enhancing applications like AirPlay and FaceTime.
  • Candidates should have a Bachelor's degree in Computer Science/Engineering and a proven track record in network programming.
  • Experience with mobile and wireless networks, as well as tools like Wireshark, is preferred, along with knowledge of audio/video codecs.
  • The position offers a competitive salary, and applicants should ideally have several years of relevant experience in the field.
Imagine what you could do here! At Apple, 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 Real-Time Networking team is seeking a motivated Engineer who takes initiative and delivers results. Our team develops the core technologies for exciting real-time media applications, such as Airplay, FaceTime, SharePlay, etc on all different Apple Platforms.

Description


As a Networking and Realtime streaming engineer, you will be responsible for designing and implementing new features around Apple's real-time networking stack, and improving the existing core functionality that drives market-leading applications like AirPlay, FaceTime, SharePlay. We are looking for an individual with a proven track record in network programming.

Minimum Qualifications


Bachelor’s degree in Computer Science/Engineering, or equivalent

Preferred Qualifications


Strong understanding of multithreaded concepts and design patterns. Have worked on/used various audio/video codecs like H.264/HEVC/AV1/AV2/AAC/Opus. Experience with mobile & wireless networks (WiFi/BT/Cellular/LTE/3G/4G/5G) or satellite networks. Hands on with tools like Wireshark, netem, or other network emulation/testing frameworks. Background in academic research or published papers related to networking, FEC and secure realtime media transport. Nice to have experience developing AI/ML solutions, including deep learning, reinforcement learning, LLMs, using frameworks like T ensorFlow, PyT orch, Keras and Scikit-learn. Data driven and dedicated Engineer with a strong work ethic and a proactive mindset.



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