Software Engineer, Video 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- and 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 automated test infrastructure

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 5+ years of software development experience in industry settings or PhD with 2+ years of experience
• 3+ years of 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

Preferred Qualifications:

• Using ML-based quality metrics and metadata for large-scale quality evaluation
• Leveraging AI-based enhancement tools that complement standard video-codecs (AV1)
• Benchmarking of traditional and novel audio/video processing use cases
• Designing AI/ML-based compression algorithms to reduce the platform's compute footprint, while improving end-user experience
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
• Experience with neural video/image compression and AI research
• Intelligent algorithms to improve video quality for calling and video conferencing
• Knowledge of multimedia/rendering stack, including containers, codecs, and AV synchronization, CV/ML
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience with computer vision, video/image codecs, or video/image processing
• Expertise in camera, graphics and /or on-device ML processing and enhancement
• Experience designing power-efficient software for mobile or embedded systems
• Industry experience in Video-on-Demand, RTC, or videos at scale
• Experience with state-of-the-art video codecs, e.g., H.264/AVC, HEVC, AV1, and AV2
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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