Embedded Engineer

Job Description
Contract duration- 6 months (can be extendable)

We are looking for an Embedded Engineer with expertise in hardware integration, video streaming, depth perception, and real-time processing to develop a video processing system with a dedicated kiosk interface. This role involves:

Selecting and integrating cameras (mono/stereo), Jetson boards, AI models, and GStreamer-based video pipelines

Developing a self-contained, plug-and-play kiosk system for surgical video recording, display, and file management

Key Responsibilities

1. Hardware & System Integration

Select and integrate mono/stereo cameras for laparoscopic imaging

Interface the camera with NVIDIA Jetson (Orin/Nano/Xavier) via MIPI CSI-2 and/or USB3.0

Optimize video capture pipeline for low latency and high-quality rendering

Implement real-time AI-based depth perception

2. Kiosk System Development

Design a plug-and-play embedded system with a dedicated touchscreen/UI

Ensure fast boot-up & auto-start of the video application

Develop an intuitive user interface using Qt for:

Live video streaming

File management (recording, screenshots, export)

Playback & review of saved videos

Simple touch-based controls for ease of use in operating theaters

3. Software & Video Processing

Develop a GStreamer-based video pipeline for real-time streaming

Work with V4L2 & OpenGL for video capture and rendering

Optimize image quality while maintaining low latency

Implement a custom Linux-based operating system to ensure:

Fast boot-up

Automatic application launch (kiosk mode)

Security & stability

4. AI & Depth Perception

Implement AI-based depth perception using models like MiDaS, FastDepth, or Monodepth2

Optimize AI inference for real-time performance using TensorRT on Jetson

Fine-tune depth estimation for high accuracy in surgical environments

5. Testing & Optimization

Perform latency analysis & real-time performance tuning

Conduct image quality, depth accuracy, and system stability tests

Implement secure file handling & data protection measures

6. Deployment & Compliance

Ensure seamless plug-and-play setup for the operating room

Follow medical compliance & regulatory standards

Document system setup, user guides, and maintenance instructions

Required Skills & Qualifications

Embedded Systems & Hardware

Experience with NVIDIA Jetson (Orin, Xavier, Nano, TX2, etc.)

Hands-on experience with MIPI CSI-2, USB, or optical fiber camera interfaces

Knowledge of camera sensors (Sony IMX, Basler, Framos, etc.)

Software Development

Proficiency in C/C++ and Python for embedded development

Strong experience with GStreamer, V4L2, OpenGL, and Qt

Familiarity with real-time video streaming & low-latency processing

Experience with Linux kernel, drivers, and fast boot optimizations

Kiosk System Development

Experience in Qt-based UI development for embedded devices

Knowledge of embedded Linux & secure OS development

Ability to implement auto-launch, file management, and touch-based UI

AI & Depth Perception

Experience in AI-based depth estimation (MiDaS, FastDepth, Monodepth2, etc.)

Knowledge of TensorRT, OpenCV, and Deep Learning frameworks (PyTorch, TensorFlow)

Security & Compliance

Experience with secure file handling & regulatory compliance (IEC 60601, FDA, etc.)

Understanding of data encryption & medical device security best practices

Preferred Experience

6+ years of experience in embedded systems, video processing, or AI-based imaging

Previous experience with medical imaging or real-time video processing

Experience working with stereo vision & 3D depth mapping

Experience in kiosk-based systems or embedded UI development (Good to have)