: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 pipelinesDeveloping a self-contained, plug-and-play kiosk system for surgical video recording, display, and file managementKey Responsibilities1. Hardware & System IntegrationSelect and integrate mono/stereo cameras for laparoscopic imagingInterface the camera with NVIDIA Jetson (Orin/Nano/Xavier) via MIPI CSI-2 and/or USB3.0Optimize video capture pipeline for low latency and high-quality renderingImplement real-time AI-based depth perception2. Kiosk System DevelopmentDesign a plug-and-play embedded system with a dedicated touchscreen/UIEnsure fast boot-up & auto-start of the video applicationDevelop an intuitive user interface using Qt for:Live video streamingFile management (recording, screenshots, export)Playback & review of saved videosSimple touch-based controls for ease of use in operating theaters3. Software & Video ProcessingDevelop a GStreamer-based video pipeline for real-time streamingWork with V4L2 & OpenGL for video capture and renderingOptimize image quality while maintaining low latencyImplement a custom Linux-based operating system to ensure:Fast boot-upAutomatic application launch (kiosk mode)Security & stability4. AI & Depth PerceptionImplement AI-based depth perception using models like MiDaS, FastDepth, or Monodepth2Optimize AI inference for real-time performance using TensorRT on JetsonFine-tune depth estimation for high accuracy in surgical environments5. Testing & OptimizationPerform latency analysis & real-time performance tuningConduct image quality, depth accuracy, and system stability testsImplement secure file handling & data protection measures6. Deployment & ComplianceEnsure seamless plug-and-play setup for the operating roomFollow medical compliance & regulatory standardsDocument system setup, user guides, and maintenance instructionsRequired Skills & QualificationsEmbedded Systems & HardwareExperience with NVIDIA Jetson (Orin, Xavier, Nano, TX2, etc.)Hands-on experience with MIPI CSI-2, USB, or optical fiber camera interfacesKnowledge of camera sensors (Sony IMX, Basler, Framos, etc.)Software DevelopmentProficiency in C/C++ and Python for embedded developmentStrong experience with GStreamer, V4L2, OpenGL, and QtFamiliarity with real-time video streaming & low-latency processingExperience with Linux kernel, drivers, and fast boot optimizationsKiosk System DevelopmentExperience in Qt-based UI development for embedded devicesKnowledge of embedded Linux & secure OS developmentAbility to implement auto-launch, file management, and touch-based UIAI & Depth PerceptionExperience in AI-based depth estimation (MiDaS, FastDepth, Monodepth2, etc.)Knowledge of TensorRT, OpenCV, and Deep Learning frameworks (PyTorch, TensorFlow)Security & ComplianceExperience with secure file handling & regulatory compliance (IEC 60601, FDA, etc.)Understanding of data encryption & medical device security best practicesPreferred Experience6+ years of experience in embedded systems, video processing, or AI-based imagingPrevious experience with medical imaging or real-time video processingExperience working with stereo vision & 3D depth mappingExperience in kiosk-based systems or embedded UI development (Good to have)
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