Your mission

• Develop real-time multi-object tracking algorithms based on camera and acoustic detections
• Build and tune Kalman filters, EKFs, UKFs, and particle filters for robust state estimation
• Use C++, Eigen, Ceres, and GTSAM to optimize fusion and tracking pipelines
• Fuse detections across time and sensors (spatial-temporal association, ID management, etc.)
• Work within ROS2 to deploy and test tracking systems on real hardware
• Ensure accurate alignment and calibration across sensor modalities
• Test everything — in the field, under pressure, not just in the lab

Your profile

• Strong experience in multi-object tracking and sensor fusion (camera, acoustics, ideally both)
• Solid skills in C++, ROS (a plus) , and relevant math libraries (Eigen, Ceres, GTSAM)
• Comfortable with real-time systems and tuning filters in noisy environments
• Practical mindset — your code should work when it matters, not just look good on paper
• Bonus: experience in defense, robotics, or embedded systems under harsh conditions

Why us?

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.