Software Engineer - Video Pipeline

You are a Software Engineer specializing in Video Pipelines, and you will be a valuable addition to our Video AI Platform team. Your primary responsibility will be to develop robust and high-performance video pipelines for Video-on-Demand (VoD) and Live streaming systems. Your expertise will ensure that our platform delivers top-notch video experiences at scale with low latency. Your role involves building and maintaining video pipelines for ingestion, decoding, encoding, and transcoding, integrating adaptive bitrate streaming into delivery pipelines. You will work with frameworks like FFmpeg, GStreamer, NVIDIA Video Codec SDK, and VAAPI to implement efficient video processing components compatible with various codecs and containers. In addition, you will be tasked with implementing video modification modules for frame-accurate transformations such as redaction, reframing, auto-zoom, and overlays. Your responsibilities will include building timeline-aware components and optimizing GPU-accelerated filters for real-time and batch processing. You will play a crucial role in profiling and tuning pipelines for low-latency live streaming and high-throughput VoD workflows, contributing to scaling strategies for large video libraries and live event workloads. Your optimization efforts will focus on cloud cost efficiency while ensuring system reliability. Collaboration is key in this role, as you will work closely with senior engineers to bring designs into production components, collaborate with AI teams for integrating model outputs into video pipelines, and actively participate in code reviews, testing, and deployment automation. For this role, you must have a minimum of 2-5 years of experience in video pipeline or multimedia systems engineering. Strong coding skills in C++ and/or Python are essential, along with hands-on experience in FFmpeg, GStreamer, libx264/x265, NVENC/DEC, and a solid understanding of video codecs and streaming protocols. Familiarity with GPU acceleration is a must. Additional qualifications that would be beneficial include exposure to cloud-native deployments, real-time video editing, familiarity with timeline-based metadata, and knowledge of adaptive streaming and edge delivery optimizations.,