mistral.ai - Applied AI Engineer, Robotics

• Integrate AI models with robotic hardware, sensors, and embedded systems, bringing modern perception and language-driven capabilities onto physical platforms. • Improve the robustness, reliability, and safety of robotic systems operating in real-world, unstructured environments. • Test and validate algorithms in simulation and in real-world deployments, moving fluidly between the two. • Analyze field data to improve model performance and system reliability, closing the loop between what happens on the robot and what happens in training. • Bring up, tune, and debug the autonomy stack — localization, mapping, navigation, and perception — on real hardware, from sensor calibration to real-time performance. • Develop and tune robot navigation behaviors — path planning, obstacle avoidance — so systems hold up in dynamic, cluttered, and partially observable environments. • Diagnose failures end-to-end: mapping drift, localization dropouts, perception edge cases, timing issues — and fix them. • Collaborate with robotics engineers, ML researchers, and systems engineers to deliver complete autonomous solutions for customer use cases, from prototype through production deployment. • Build and maintain the tooling needed for deployment, monitoring, and continuous improvement of deployed systems.