Software Engineer – Video Pipelines

2 days ago

Singapore ELPA ASIA PTE. LTD. Full time
Roles & Responsibilities

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.

Tell employers what skills you have

Adaptive
Transcoding
Scalability
Multimedia
Kubernetes
Pipelines
Adaptive Streaming
Video Codec
Python
Video Processing
Video Editing
Metadata
Systems Engineering
C++

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