Computer Vision Software Engineer
The Overwatch Computer Vision Software Engineer will design and implement computer vision and applied artificial intelligence software for realtime, onboard image processing to transform raw aerial image data into customer intelligence.
Overwatch Imaging is changing the way airborne image-based intelligence is created. Rooted in the airborne intelligence and drone technology cluster of Hood River, Oregon, Overwatch Imaging is revolutionizing human understanding of the world through computer vision-optimized sensing. Overwatch Imaging makes customized imaging payloads designed for mission-critical, automated remote sensing roles. Our products allow tactical UAS and general aviation aircraft to automatically detect small targets, collect precision survey maps, conduct autonomous search, and provide real-time image-based intelligence to users. Overwatch Imaging payloads feature autonomously gimballed cameras combined with onboard image processing and AI software, which we leverage to reduce operator workload, accelerate data processing workflows, and identify hard-to-find small signals from large datasets.
Major Areas of Responsibility:
The ideal candidate will be strong in many of the following areas:
Object Detection Algorithm Development: Identifies techniques and creates software to detect and characterize hard-to-find signals from a variety of imagery situations.
Image Processing Software Programming: Supports development of camera controls and image manipulation programs for deployment in Overwatch airborne payloads or ground stations, to accelerate data extraction and simplify post-processing workflows.
Representative Imagery Collection: Gathers image data from aircraft, manned or unmanned, to develop and test object detection software.
Experience and Education:
Formal education and training in computer science, aeronautical engineering, electrical or mechanical engineering, optics, or related fields.
Experience in airborne or space-based remote sensing and image processing; hands-on experience with high resolution multispectral band imagery preferred.
Academic or professional experience with image processing software, machine learning techniques, and autonomous systems.
Experience with device driver implementation and embedded system deployment; experience working in a compute-constrained environment.
5+ years of experience with a Bachelor’s degree, or
2+ years of experience with a Master’s or Ph.D degree.
Programming in C, C++, Python, CUDA, OpenCV, MATLAB, and Java o Image-Based Object Detection and Classification
Machine Learning Model Training and Refinement
Imagery Manipulation, Compression and Formatting
Linux Operating System on GPU-Accelerated Hardware
Photography and Video Imagery Collection
Thrives in a dynamic, fast-paced small startup business environment
Highly motivated self-starter able to work independently and with a team
Collaborates well in a small team environment
Enjoys hands-on work and learning new skills
Eager to learn and solve real-world problems and accept new challenges
Takes pride in seeing new products reach operational use quickly
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