Eduardo Arnold is a Senior Computer Vision Engineer with 11 years of experience building large-scale visual localization, 3D reconstruction and autonomous-driving perception systems. He holds a PhD in Perception for Intelligent Vehicles and combines a strong research record (including top-conference publications) with production engineering—optimizing SfM pipelines, deploying PyTorch-based re-localization at 3x speed with 100x less memory, and cutting cloud costs by >95%. Comfortable across Python/C++ tooling, Open3D, OpenCV, PyTest, Docker, Kubernetes/Argo and GCP, he repeatedly turns research ideas into scalable pipelines and benchmarks that quantify real-world performance. At Niantic and Cartesian he shipped mapping, SLAM evaluation protocols and renderers for massive point clouds, and at Hover he now leads advanced computer vision efforts. Notably, he has a history of squeezing orders-of-magnitude improvements from both algorithms and infrastructure, reflecting a rare combination of theoretical depth and pragmatic systems engineering.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Electrical and Electronics Engineering, 9.4, Bachelor of Engineering (B.Eng.), Electrical and Electronics Engineering, 9.4 at Universidade Federal de Santa Catarina
Doctor of Philosophy - PhD, Perception for Intelligent Vehicles, Doctor of Philosophy - PhD, Perception for Intelligent Vehicles at University of Warwick
Bachelor of Engineering (B.Eng.), Electronics and Computer Engineering, Bachelor of Engineering (B.Eng.), Electronics and Computer Engineering at University of Surrey
Contributions:54 commits, 4 PRs, 17 pushes in 5 months
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Eduardo Arnold - Senior Computer Vision Engineer at Hover