Software Engineer

6 hours ago

Singapore ELPA ASIA PTE. LTD. Full time

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 .

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