Video Software Engineer

2 weeks ago

Bengaluru, Karnataka, India Nasugroup Full time

Role Overview :

We are looking for an experienced Video Software Engineer to design, develop, and optimize multimedia frameworks, codec implementations, and video processing pipelines across embedded platforms. The role requires strong knowledge of video standards, HLOS media stacks, and hardware/software integration, with the ability to deliver high-performance video solutions in domains ranging from consumer devices to automotive and vision analytics systems.

Key Responsibilities :

- Develop and integrate video codec components (H.265/HEVC, H.264/AVC, VP9, VP10, MPEG-4, etc.) into multimedia frameworks.

- Work with OpenMAX IL and hardware video accelerators for efficient codec implementation.

- Enable and optimize HLOS media stacks (Android, QNX) for real-time video playback, recording, and streaming.

- Implement and support TV input, HDMI-in, and related video input technologies.

- Design and optimize video pre/post-processing pipelines (scaling, deinterlacing, noise reduction, HDR, color space conversion, etc.).

- Collaborate with computer vision and video analytics teams to enable hardware-accelerated video features.

- Debug and resolve complex issues across codec, framework, and system layers.

- Work with cross-functional hardware, display, and multimedia teams to ensure seamless video subsystem integration.

Required Skills & Experience :

- Strong proficiency in C/C++ programming for multimedia and system-level software.

- In-depth knowledge of video codec standards: H.265/HEVC, H.264/AVC, VP9, VP10, MPEG-4, etc.

- Experience with multimedia frameworks and integration (GStreamer, OpenMAX IL, Stagefright, etc.).

- Hands-on expertise with Android/QNX media stacks.

- Familiarity with TV input frameworks, HDMI-in, and related video interfaces.

- Strong understanding of video pre/post-processing techniques.

- Debugging and performance tuning skills for video playback and streaming pipelines.

Preferred Qualifications :

- Experience in computer vision or video analytics with hardware acceleration.

- Knowledge of GPU or DSP-based video acceleration.

- Familiarity with low-latency streaming protocols and real-time media applications.

- Exposure to automotive video systems, AR/VR, or smart TV platforms.

- Excellent collaboration and communication skills for cross-domain problem solving.

(ref:hirist.tech)

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