Job Description

At Meta, we're developing innovative products that enable people to connect with loved ones and push the boundaries of computing platforms. As a Video Software Engineer, you'll have the opportunity to work on a wide range of products, including Messenger, Video, Groups, News Feed, Search, AR/VR, and GenAI, building cutting-edge video solutions that drive billions of interactions per day. You'll help create new features, improve existing products, and develop immersive video experiences that bring people closer together. By joining our team, you'll be part of creating products used by billions of people worldwide, solving complex technical problems, and shaping the future of online connection and community.

Responsibilities
Research, develop, and troubleshoot real time communication systems, related to video and audio codecs, cameras, displays, and microphones
* 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 network and devices
* Lead the definition and implementation of media processing pipeline
* Continuously improve the efficiency of the automated test tooling by leveraging the internal automated test infrastructure

Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
* 10+ years software development experience in industry settings or PhD with 4+ years of experience
* 4+ years relevant video software engineering experience in industry settings
* Experience in C/C++ multithreaded programming
* Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision
* Experience driving cross-functional/industry-wide engineering efforts
* Experience mentoring/influencing engineers across organizations Full end-to-end neural-compression techniques at scale for FoA verticals (Calling, VOD etc.)
* Expertise in neural video/image compression, AI research
* Experience designing AI/ML-based compression algorithms to reduce the platform's compute footprint, while improving end-user experience
* Experience using ML-based quality metrics and metadata for large-scale quality evaluation
* Experience benchmarking of traditional and novel audio/video processing use cases
* Knowledge of multimedia stack, including containers, codecs, and AV synchronization
* Experience leveraging AI-based enhancement tools that complement standard video-codecs (AV1)
* Experience with computer vision, video/image codecs, or video/image processing
* Experience with state-of-the-art video codecs e.g. H.264/AVC, HEVC, AV1, AV2
* Industry experience in Video-on-Demand, RTC, or videos at scale
* Experience designing power-efficient software for mobile or embedded systems
* Experience building intelligent algorithms to improve video quality for calling and video conferencing