Software Engineer

2 weeks ago

Delhi, India Digital Roundabout 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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