Exodigo – Computer Vision Engineer

Exodigo is a market leader in non-invasive underground mapping, using AI-driven 3D imaging and multi-sensor fusion. As a Computer Vision Engineer, you’ll work within the Algorithms Team to develop advanced models that automatically detect and reconstruct infrastructure from 2D and 3D sensor data—impacting utilities, transportation, and civic projects globally.

Key Responsibilities:
– Research and implement computer vision algorithms for 2D image analysis, object detection, segmentation, and 3D reconstruction
– Leverage photogrammetry techniques to enhance subsurface mapping quality
– Automate extraction from point-clouds and integrate with GIS/BIM systems
– Work alongside Software Engineers to incorporate algorithms into scalable production pipelines
– Benchmark, maintain, and document algorithm performance, supporting cloud-based deployments (preferably AWS)

Requirements:
– B.Sc or M.Sc in EE, CS, Computer Engineering, or related field
– 5+ years of CV algorithm development, especially deep learning for 3D data
– Proficiency in Python with NumPy, SciPy, OpenCV, Open3D
– Experience with PyTorch (or TensorFlow) for model training and evaluation
– Optional but preferred: experience with BIM, GIS, LiDAR, and cloud platforms