at Autonomous Teaming Solutions
Full TimeAs a Robotics Software Engineer in our Tracking & Sensor Fusion team, you will:
Develop, integrate, and optimize real-time tracking and sensor fusion algorithms for UAVs and autonomous vehicles.
Design and implement multi-object tracking modules using Kalman filters, Bayesian estimators, and other probabilistic methods.
Fuse data from multiple sensors (e.g., cameras, radar, lidar, IMUs) for accurate and reliable state estimation.
Collaborate with perception, planning, and embedded systems teams to deliver end-to-end autonomous solutions.
Work on both experimental prototypes and production-ready systems for deployment in demanding environments.
You should bring solid experience in several of the following areas:
Multi-Object Tracking: Data association, probabilistic modeling, Kalman/Extended Kalman/Unscented Kalman filters, track management.
Sensor Fusion: Integration of camera, radar, lidar, GNSS, IMU data for environment modeling and localization.
State Estimation: Expertise in state estimation under uncertainty for dynamic systems.
Software Development: Strong skills in C++ (11/14/17) and/or Python, with focus on real-time, embedded or robotics applications.
Autonomous Systems / Robotics: Practical experience in mobile robotics, UAVs, self-driving vehicles, or defense systems.
Frameworks: Familiarity with ROS, RTMaps, DDS, or similar distributed system frameworks is a plus.
Join us to shape the future of AI-driven defense!
Do you feel that you fit the description, but don't think you fulfill all the criteria 100%? Apply to us anyway.
We look forward to receiving your detailed application via our online form.
The world is changing. Exponential technologies are enabling new types of security threats. We are committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate developers who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.
