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
- Optimize and improve video codec efficiency, encode rate control, processing 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
- 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
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 7+ years software development experience in industry settings or PhD with 4+ years of experience
- 3+ years relevant video software engineering experience in industry settings
- Experience in C/C++ multithreaded programming
- Experience leading large or complex projects, defined goals and delivered milestones by leading teams Full end-to-end neural-compression techniques at scale, for FoA verticals (Calling, VOD etc.)
- Expertise in neural video/image compression, AI research
- Designing AI/ML-based compression algorithms to reduce the platform's compute footprint, while improving end-user experience
- Using ML-based quality metrics and metadata for large-scale quality evaluation
- Benchmarking of traditional and novel audio/video processing use cases
- Knowledge of multimedia stack, including containers, codecs, and AV synchronization
- 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
- Intelligent algorithms to improve video quality for calling and video conferencing
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies