Software Engineer

2 weeks 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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