Experience with WebRTC and SFU and MCU architectures
Experience using/adapting/extending the libwebrtc C++ code
Demonstrated experience in video and audio compression techniques
Good understanding of media/data transport (RTP, RTCP, SCTP, ICE, UDP, QUIC, etc)
What you'll be doing
Work closely with cross-functional teams to understand features, operation, and specify enhancements
Optimizing and improving video codec efficiency, encode rate control, speed, video, pre/post-processing, and error resilience
Debugging and diagnosing quality of end-to-end video experience on lossy networks in real-time communication scenarios
Define the video optimization roadmap for both low-end and high-end networks and devices across surfaces (2D and MR)
Lead the definition and implementation of media processing pipelines
Identify areas of performance, quality, and reliability improvement across the stack
Design, develop, test, and deploy real-time communication services and applications
Collaborate closely with both the research and product team to deploy new technologies including augmenting systems and algorithms to make them robust to shipping scenarios
Work in close partnership with Meta’s Remote Presence platform that powers Messenger and Instagram to deliver more immersive experiences for the metaverse
Nice to haves
Hands-on experience of improving performance, reliability, and quality of WebRTC based stacks
Experience with frameworks such GStreamer or ffmpeg
Understanding of signaling concepts and familiarity with traditional VoIP applications (SIP)
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience