Software Engineer - Video Pipeline Digital Roundabout India Private Limited

2.0 - 6.0 years

0 Lacs

karnataka

On-site

You are seeking a Software Engineer specializing in Video Pipelines to join the Video AI Platform team. Your primary responsibility will involve developing robust and high-performance video pipelines for Video-on-Demand (VoD) and Live streaming systems. Your hands-on approach will be crucial in implementing modules for video decoding, encoding, transcoding, and modification to ensure the platform delivers low-latency, high-quality video experiences at scale. Key Responsibilities: - Build and maintain video ingestion, decoding, encoding, and transcoding pipelines for VoD and Live systems. - Integrate adaptive bitrate streaming (HLS, DASH) into delivery pipelines. - Collaborate with frameworks like FFmpeg, GStreamer, NVIDIA Video Codec SDK, and VAAPI to implement efficient video processing components. - Ensure pipeline compatibility with multiple codecs and containers (H.264/H.265, AV1, VP9, MP4, MKV, TS). In terms of Video Modification Modules, your tasks will include: - Implementing frame-accurate transformations such as redaction (face/voice blurring), reframing, auto-zoom, and overlays. - Building timeline-aware components that align scene metadata with video streams for precise modifications. - Optimizing GPU-accelerated filters for real-time and batch processing. Regarding Performance & Scalability, you will: - Profile and tune pipelines for low-latency live streaming and high-throughput VoD workflows. - Contribute to scaling strategies for large video libraries and live event workloads. - Optimize for cloud cost efficiency while maintaining reliability. Your Collaboration & Execution responsibilities entail: - Translating designs into production components in collaboration with senior engineers. - Integrating model outputs from AI teams into video pipelines (e.g., scene tagging, redaction cues). - Participating in code reviews, testing, and deployment automation. Qualifications: Must-Have: - 2-5 years of experience in video pipeline or multimedia systems engineering. - Strong coding skills in C++ and/or Python. - Hands-on experience with FFmpeg, GStreamer, libx264/x265, NVENC/DEC. - Understanding of video codecs and streaming protocols (H.264/H.265, VP9, AV1, HLS, DASH, RTMP). - Familiarity with GPU acceleration (CUDA, NVENC/DEC, VAAPI, or equivalent). Nice-to-Have: - Exposure to cloud-native deployments (AWS/GCP/Azure, Docker, Kubernetes). - Experience in real-time video editing or transformation pipelines. - Familiarity with timeline-based metadata, content retrieval, or AI-driven video modifications. - Knowledge of adaptive streaming and edge delivery optimizations.,

Posted 5 days ago

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Software Engineer - Video Pipeline Digital Roundabout Pte Ltd

2.0 - 6.0 years

0 Lacs

delhi

On-site

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.,

Posted 6 days ago

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