
Software Engineer
2 weeks ago
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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