Software Engineer-Video Pipelines

Role Overview

We are looking for a Software Engineer - Video Pipelines to join our Video AI Platform team. This role is focused on building robust, high-performance video pipelines for both Video-on-Demand (VoD) and Live streaming systems. You will be hands-on in implementing modules for video decoding, encoding, transcoding, and modification, ensuring that our platform delivers low-latency, high-quality video experiences at scale.

As a pipeline-builder, you will work closely with senior engineers and architects to bring designs and AI workflows into production-ready video systems, using frameworks like FFmpeg, GStreamer, and GPU-accelerated SDKs.

Key Responsibilities

Video Pipeline Engineering

. Build and maintain video ingestion, decoding, encoding, and transcoding pipelines for VoD and Live systems.

. Integrate adaptive bitrate streaming (HLS, DASH) into delivery pipelines.

. Work with 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).

Video Modification Modules

. Implement frame-accurate transformations such as redaction (face/voice blurring), reframing, auto-zoom, and overlays.

. Build timeline-aware components that align scene metadata with video streams for precise modifications.

. Optimize GPU-accelerated filters for real-time and batch processing.

Performance & Scalability

. 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.

Collaboration & Execution

. Work with senior engineers to translate designs into production components.

. Collaborate with AI teams to integrate model outputs into video pipelines (e.g., scene tagging, redaction cues).

Participate 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.