Summary
Martín Karg is a Senior Simulation Engineer with 9 years of experience building robotics and autonomy systems that perform reliably in the real world. He has led perception and sensor-stack engineering for LiDAR, RADAR, and camera systems across hardware, firmware, and edge/cloud software—driving production deployments at Amazon and automotive-scale products at Continental. Martín combines deep systems programming in C++, Rust, and Python with simulation-in-loop and HIL expertise to accelerate algorithm development and KPI-driven validation. He’s designed multi-sensor data platforms and ROS2/eCAL integration layers that supported large-scale verification campaigns and helped secure major OEM wins. Now based in Palo Alto and currently developing automated driving simulation in Rust at Woven by Toyota, he blends academic training from Georgia Tech and Monterrey Tech with hands-on production delivery. An understated strength is his track record translating field data into robust pipelines and deployable edge solutions that balance innovation with real-world reliability.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Digital Systems and Robotic engineering, Bachelor of Science - BS Digital Systems and Robotic engineering at Tecnológico de Monterrey
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Exchange Program Electrical, Electronics and Communications Engineering, Exchange Program Electrical, Electronics and Communications Engineering at Hochschule Esslingen - University of Applied Sciences
Spanish, English