Christian Vaugelade-kilaas
Senior Software Engineer at Statkraft
Oslo, Norway
Summary
👤
Senior🎓
Top SchoolChristian Vaugelade-kilaas is a senior robotics software engineer based in Oslo with seven years of experience building perception, estimation, and autonomous systems for industrial robots and vehicles. He has led robotics teams and mentored modern C++ and template metaprogramming practices, shipping performance-sensitive libraries and simulation tools across companies like Husqvarna, AutoStore, and EasyMile. His work spans LiDAR-based obstacle detection, sensor fusion using Lie theory, and low-level hardware communication, including an internal point-cloud library that delivered a 10x speedup over ROS2 equivalents. A prolific open-source contributor, he maintains the Orient library and has contributed to Georgia Tech’s GTSAM project, reflecting a blend of academic rigor and production engineering. Now at Statkraft, he applies this robotics-first mindset to large-scale, real-world systems while continuing to bridge research-grade algorithms and performant software.
7 years of coding experience
7 years of employment as a software developer
Master of Engineering (MEng) - Erasmus year Embedded Systems, Master of Engineering (MEng) - Erasmus year Embedded Systems at Technical University of MunichInternational Baccalaureate Diploma Realfag, International Baccalaureate Diploma Realfag at Arendal Videregående SkoleMaster of Engineering (MEng), Master of Engineering (MEng) at INSA Toulouse - Institut National des Sciences Appliquées de Toulouse
Norwegian, English, French, German
Github Skills (39)
sparse10
thrust10
hierarchical10
nvidia10
smoothing10
factor10
robotics9
pattern-recognition9
gtsam9
formatting9
behavior9
ros9
cpp9
cuda9
unicode8
Programming languages (4)
Github contributions (5)
Eskilade/orient
Jan 2020 - Jun 2020
C++ for transformations between 3D orientation representations and associated Jacobians
Contributions:57 commits, 2 PRs, 19 pushes in 4 months
Eskilade/gtsam
Aug 2020 - Sep 2020
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Contributions:14 pushes, 2 branches in 16 days
smoothingsparsehierarchicalc-plus-plusgtsam
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