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
- Designing AI/ML-based compression algorithms to reduce the platform's compute footprint, while improving end-user experience
- Optimize and improve video codec efficiency, encode rate control, processing speed, video pre/post-processing, and error resilience
- Debug and diagnose 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 the 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
- Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field
- 5+ years software development experience in industry settings or PhD with 2+ years of experience
- 3+ years of experience in computer vision, video/image codecs, video/image processing or a relevant domain
- Experience in neural video/image compression and AI research
- Experience with computer vision, video/image codecs, or video/image processing
- Experience in C/C++ multithreaded programming
- Experience leading large or complex projects, defined goals and delivered milestones by leading teams
Preferred Qualifications
- Leveraging AI-based enhancement tools that complement standard video-codecs (AV1)
- Knowledge of multimedia stack, including containers, codecs, and AV synchronization
- Experience developing algorithms to improve video quality for calling and video conferencing
- Using ML-based quality metrics and metadata for large-scale quality evaluation
- Experience with state-of-the-art video codecs e.g. H.264/AVC, HEVC, AV1, AV2
- benchmarking of traditional and novel audio/video processing use cases
- Full end-to-end neural-compression techniques at scale, for FoA verticals (Calling, VOD etc.)
- Experience designing power-efficient software for mobile or embedded systems
- Experience with computer vision, video/image codecs, or video/image processing
- Industry experience in Video-on-Demand, RTC, or videos at scale
$183,997/year to $257,000/year + bonus + equity + benefits
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