Computer Vision & Localization Engineer

Python Mastery: Excellent Python programming skills with an
emphasis on algorithmic problem-solving, clean code, and
performance.
• OpenCV & Image Processing: Experience with image processing
pipelines, camera calibration, perspective transforms, and real-time
frame analysis.
• GNSS: Hands-on experience with GNSS receivers, RTK
corrections, and serial port communication (pyserial or equivalent).
• COMPUTER VISION along with Spatial & 3D Math: Comfort
with coordinate frame transformations, rotation matrices,
bearing/distance calculations, and projective geometry.
• Linux & Hardware I/O: Proficiency working in Linux
environments, managing serial devices, USB peripherals, and PoE
cameras.
• NVIDIA / Edge AI (Nice to Have): Experience deploying models
on NVIDIA Jetson platforms or similar Edge AI hardware using
TensorRT, DeepStream, or CUDA.
• OCR (Nice to Have): Prior experience with text detection and
recognition.