Summary
Atta Oveisi is a Staff Software Engineer and former Post-Doc in Robotics with nine years of experience bridging control theory and production-grade autonomy software. He holds a PhD in control theory and system identification and has worked on L2++ to L4 autonomy at NVIDIA and L4/L5 vehicle intelligence at Daimler, leading motion-control and localization efforts across simulation, test track, and on-road deployments. His expertise spans nonlinear and robust control, NMPC, state estimation, sensor fusion, firmware and mechatronic design, and a decade of C++, Python and MATLAB development. Atta combines academic depth—teaching and supervising system identification and experimental dynamics—with hands-on implementation of SLAM, path planning and control on personal robotics projects and open-source libraries. Notably, he develops his own path-planning library and robot implementations on GitHub, reflecting a rare full-stack autonomy skillset from material-level piezoelectric systems to vehicle CAN-network integration. Based in Stuttgart, he is especially strong at turning advanced observer-based theory into reliable, safety-focused autonomy software.
9 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at University of Tabriz
nano degree, Robotics Software Engineer, nano degree, Robotics Software Engineer at Udacity
Master's degree, Dynamics, Vibration, and Control, Master's degree, Dynamics, Vibration, and Control at Iran University of Science and Technology
Research associate, Control theory, Research associate, Control theory at Gaziantep Üniversitesi
Doctor of Philosophy - PhD, Control theory and system identification, Doctor of Philosophy - PhD, Control theory and system identification at Ruhr University Bochum
English, German, Turkish, Persian, Azerbaijani, Chinese