Alexandru Betiu
@alexandrubetiu
I build low-latency embedded vision, GPU, and AI systems on NVIDIA Jetson.
What I'm looking for
At ShareXtent, I architect and implement real-time multi-camera imaging pipelines on NVIDIA Jetson AGX/Orin, combining C/C++, CUDA, GStreamer/DeepStream, OpenGL ES, EGL, AI, and display systems.
I bring up and debug IMX camera systems across CSI-2 and GMSL, modify drivers and sensor modes, tune ISP pipelines, and solve multi-camera synchronization and timing issues. I build GPU-native NVMM, DMA, and CUDA-EGL data paths, custom CUDA transforms, and image-processing stages for distortion correction, denoising, compositing, and AR overlays.
I deploy TensorRT, DeepStream, YOLO, OpenCV, and PyTorch pipelines for detection and segmentation, reducing inference and response latency from about one second to about 100 ms through model, pipeline, and GPU-path optimization.
I also prototype RAG and Llama-family model capabilities, integrate LiDAR, thermal, GPS, and IMU sensors into synchronized graphics systems, and create Blender-based printable enclosures and visualization assets that move R&D concepts toward physical products.
Experience
Work history, roles, and key accomplishments
Software Developer / R&D Engineer
ShareXtent
Jul 2023 - Present (3 years 2 months)
Architect and implement low-latency multi-camera imaging pipelines on NVIDIA Jetson AGX/Orin using C/C++, CUDA, GStreamer/DeepStream, OpenGL ES and EGL. Bring up and debug IMX-based camera systems, design GPU-native data paths, and develop CUDA/GLSL processing stages for image processing and AR overlays.
Education
Degrees, certifications, and relevant coursework
University of Petrosani
Bachelor of Science, Computer Science
2025 -
Pursuing a Bachelor of Science in Computer Science, expected to graduate in 2029.
Availability
Location
Authorized to work in
Salary expectations
Job categories
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