• Develop and implement advanced sensor fusion algorithms using techniques such as Extended Kalman Filters (EKF), Unscented Kalman Filters (UKF), Nonlinear Observers, and factor graph-based SLAM frameworks for robust localization in GPS-denied environments.
• Integrate and synchronize data from multiple sensor modalities, including cameras, LiDAR, radar, IMUs, GNSS, magnetometers, and barometers, to create accurate and reliable environmental representations.
• Design and optimize real-time data processing pipelines ensuring low-latency performance for autonomous systems.
• Validate and test in both simulated and real-world environments, including under degraded or denied GNSS conditions.
• Collaborate cross-functionally with software and hardware teams to ensure seamless integration and system optimization.
• Research, prototype, and deploy novel algorithms for multi-sensor fusion.
• Troubleshoot and debug complex sensor data and fusion issues to isolate and resolve defects.
• Stay current with advancements in sensor technologies, AI, robotics, and industry standards to drive innovation and maintain technical leadership.

Your Profile

• MS or higher in Robotics, Computer Vision, or related engineering fields
• Strong software development skills in C++ and proficient debugging skills for complex robotics systems
• Expertise in sensor fusion algorithms (EKF, UKF, particle filters, factor graphs) and state estimation techniques
• Solid understanding of robotics perception systems, including SLAM, visual odometry, and inertial navigation
• Proficiency with ROS2 and simulation tools for algorithm validation
• Experience with sensor calibration and synchronization (LiDAR, camera, IMU, GNSS, radar)
• Strong foundation in linear algebra, probability, and 3D geometry
• Proficiency with Linux systems, version control, CI/CD, and software engineering best practices in a robotics context
• Self-motivated, organized, and proactive work style

Nice-to-have

• Proficiency in Python, Rust or CUDA programming
• Knowledge of real-time embedded systems and optimization for edge computing platforms (e.g., NVIDIA Jetson, FPGA)
• Familiarity with machine learning frameworks (e.g., PyTorch and TensorRT) and computer vision libraries (e.g., OpenCV)
• Experience in GPS-denied navigation for autonomous vehicles or robotics

About Us ARX is a dual-use technology company that specializes in developing autonomous unmanned systems and sensors for the European defence sector. Our dual-use unmanned ground systems and sensors assist NATO Armies and civilian first responders in tackling their most challenging problems by providing them with training and information to make better decisions and take effective actions in life-or-death situations.

As our team continues to expand rapidly, we are seeking motivated candidates who are excited to work in a highly energetic, creative, and innovative team dedicated to developing autonomous systems for challenging environments. We operate in a dynamic sector where collaboration, sharing innovative ideas, and developing novel problem-solving strategies are ingrained in our work culture.

If you are passionate about overcoming challenges that have a real impact on the security of our democracies, apply here to join ARX and help shape the future of dual-use technology!

ARX is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply.

You can find ARX Robotics Applicant Privacy Policy here.