Networking and Realtime Streaming Engineer, Audio & Media Technologies

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

In-depth development experience with at least one of the following: C, Objective-C, or C++

Extensive Experience building and optimizing real-time video/audio streaming systems (e.g., SRTP/RTCP, WebRTC,SRT , SFrame, QUIC/HTTP3-based media transport)

Strong grasp of network protocols and behavior under variable network conditions (packet loss, jitter, latency,FEC,Duplication,RTX

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.