Software Engineer- Video Pipelines

1 week ago

Delhi, Delhi, India Digital Roundabout Pte Ltd Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Company Description

Digital RoundAbout Pte Ltd (DRPL) is a global innovation company specializing in cost-effective managed services and technology-driven solutions. Founded on the principle of Collaborative Enterprise, DRPL integrates best-in-class products and services from strategic partners to deliver unique, scalable, and efficient solutions.

With an emphasis on long-term service and continuous innovation, we focus on enhancing service quality while reducing costs. Our expertise spans enterprise-grade IT solutions, Digital Workspace, BI/Analytics, cloud computing, AI-driven video analytics, IoT applications ensuring cutting-edge, tailored solutions for our clients.

Role Description:

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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