Munir Jojo-Verge

Munir Jojo-Verge has a long and varied work experience. Munir began their career as a student at the International Space University in 2003. In 2004, they became a Software/Systems Engineer at the NASA Jet Propulsion Laboratory, where they were in charge of the analysis, development and implementation of the real-time flight software of the PAUSE project. In 2008, they became an Aerospace/Flight Control Engineer Lead at Worldwide Aeros Corp., where they were responsible for the analysis, design and implementation of the Flight Control Systems and building a flight simulator of a new and innovative type of hybrid airship. In 2013, they became a Sr. Software Lead Engineer at ARINC - ROCKWELL COLLINS (Surface Transportation Division), where they lead a group of three software engineers towards two critical new releases of ARINC AIM product. In 2014, they became a Sr. Control Systems/Software Engineer at Walt Disney Imagineering, where they worked on the detailed design, development, testing and commissioning of TRON LightCycles Power Run ride in Shanghai Disneyland Resort. In 2018, they became a Behavior Planning Engineer at ZENUITY and a Sr. Mission & Behavior Planning Engineer - Autonomous Driving Systems and a Behavior Planning Engineer / Software Engineer at American Haval Motor Technology LLC. In 2019, they became a Motion Planning & Decision Making Software Development Manager at Amazon Robotics (Canvas Technology). In 2020, they became an Autonomous systems developer Lead at MITRE. Most recently, in 2022, they became a Lead AI Researcher at Neo Cybernetica.

Munir Jojo-Verge's education history includes a BEng in Automatic Control & Systems Engineering from the University of Sheffield between 2000 and 2003, an MSc in Master in Space Studies from the International Space University between 2003 and 2004, an Associate in Computer Science/Software Development from I.E.S. CESAR MANRIQUE between 1994 and 1996, an MSc in Physics from Universidad de La Laguna between 1991 and 1994, and various online courses and certifications from Udacity and Coursera. These include a Self-Driving Car Nanodegree from Udacity in 2016, a Robotics Software Nanodegree from Udacity in 2020, and various certifications related to robotics, machine learning, self-driving cars, and management.