Description :

Role Overview

We are looking for a highly skilled Embedded Engineer to work on a cutting-edge video processing and camera optimization project. The role requires deep expertise in NVIDIA Jetson platforms, GStreamer internals, and real-time embedded video pipelines.

The ideal candidate will take ownership of end-to-end camera pipeline optimization, focusing on image quality, performance, and ultra-low latency.

Key Responsibilities :

- Analyze and optimize the end-to-end camera pipeline :

- Sensor ISP GStreame Display

- Improve image quality including sharpness, color accuracy, and consistency.

- Identify and significantly reduce end-to-end video latency.

- Review, refactor, or rewrite custom GStreamer C++ plugins and pipeline components as required.

- Ensure zero-copy GPU pipelines (NVMM) and correct caps negotiation.

- Tune ISP parameters such as exposure, gain, white balance, and sharpness.

- Optimize pipelines using nvarguscamerasrc and NVIDIAs ISP framework.

- Debug and resolve performance bottlenecks in real-time embedded video systems.

Required Skills & Experience :

- 712 years of experience in embedded systems, multimedia, or video processing.

- Strong hands-on experience with NVIDIA Jetson platforms:

- Deep knowledge of GStreamer / DeepStream internals and performance tuning.

- Hands-on experience with CSI cameras and Sony IMX series sensors.

- Strong experience with nvarguscamerasrc and NVIDIA ISP pipelines.

- Solid C++ development skills, especially for GStreamer plugin development.

- Proven experience in low-latency, real-time video systems.

- Strong debugging and profiling capabilities.

Nice to Have :

- Experience in medical imaging, robotics, or advanced vision systems.

Familiarity with :

- Argus API

- V4L2

- Understanding of Image Signal Processing (ISP) concepts.

- Exposure to GPU-accelerated embedded pipelines.