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Stellar Science is a growing Albuquerque-based scientific software development company seeking talented software developers to create and extend exciting scientific and engineering analysis applications. We maintain high standards in all our software development efforts, utilizing modern development practices including continuous integration, test-driven development, and code reviews to develop high-quality, maintainable, and reusable code. We are currently seeking capable software engineers with experience solving challenging Computer Vision (CV) and Machine Learning (ML) problems using modern C++ and/or Python. Our target applications include but are not limited to: Structure From Motion (SFM): Producing 3D shape data from multiple images; ML-based image classification: Identifying objects in images; Model-Image Alignment: Aligning known shapes to appearances in images. Join our unique, collaborative team to help implement leading-edge scientific software tools in exciting aerospace engineering and analysis fields. Our employees enjoy extremely flexible work schedules with a hybrid workplace model and generous benefits.
Job Responsibility:
Create and extend exciting scientific and engineering analysis applications
Utilize modern development practices including continuous integration, test-driven development, and code reviews
Develop high-quality, maintainable, and reusable code
Solve challenging Computer Vision (CV) and Machine Learning (ML) problems using modern C++ and/or Python
Applications include Structure From Motion (SFM), ML-based image classification, Model-Image Alignment
Help implement leading-edge scientific software tools in exciting aerospace engineering and analysis fields
Requirements:
BS in STEM field with three or more years of software development experience
Demonstrated experience developing CV and Image Processing software
Object-oriented design and C++ and/or Python programming experience
Adept at learning new paradigms and programming development processes
Interest in developing modern, high-quality C++20/23 code
U.S. citizen, willing to undergo background investigation, and perform some work at government and/or customer sites
Nice to have:
MS or PhD degree with focus on CV
Familiarity with contemporary CV research literature
Classic SFM algorithms: Tomasi-Kanade Factorization, SIFT descriptors, etc.
Relevant CV computing libraries: OpenCV, Ceres solver, Boost, Eigen