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About The Role At ARX Robotics, you will help advance the autonomy stack of next-generation unmanned ground vehicles. As a Staff Engineer – Sensor Fusion & Localization, you will develop core state estimation and sensor fusion systems that enable robots to understand their position and motion in complex, GPS-denied environments.   You will work across autonomy, perception, hardware, and software teams to integrate advanced algorithms into a cohesive and reliable platform for real-world deployment. Your contributions will directly influence how autonomous and teleoperated systems operate in demanding field conditions where precision, robustness, and low latency are critical.   What You’ll Build Develop advanced sensor fusion and state estimation algorithms for robust localization in GPS-denied environments    Implement and improve methods such as EKF, UKF, particle filters, and nonlinear observers for state estimation  and factor graph-based SLAM methods   Fuse and synchronize data from cameras, LiDAR, radar, IMUs, GNSS, magnetometers, and barometers into reliable real-time state estimates    Design low-latency, real-time processing pipelines for autonomous robotic systems    Build and refine localization performance through simulation, controlled testing, and real-world validation under degraded sensing conditions    Collaborate closely with hardware and software teams to ensure accurate calibration, synchronization, and system integration    Prototype, evaluate, and deploy new multi-sensor fusion and estimation approaches    Debug and resolve complex issues across sensor data, calibration, and estimation pipelines    Contribute to resilient GPS-denied navigation capabilities for autonomous ground vehicles    What You Bring Advanced degree (MSc or higher) in Robotics, Computer Vision, Electrical Engineering, or a related field    Strong C++ development skills with experience debugging complex robotics systems    Deep expertise in sensor fusion and state estimation methods, including EKF, UKF, particle filters, and nonlinear estimation techniques    Solid understanding of inertial navigation and visual-inertial concepts   Hands-on experience integrating and calibrating multi-sensor systems (LiDAR, camera, IMU, GNSS, radar)    Strong foundation in linear algebra, probability theory, and 3D geometry    Experience working with ROS2 and simulation environments for algorithm development and validation    Familiarity with Linux-based development workflows, CI/CD pipelines, and modern robotics software practices    A structured, self-driven approach with strong problem-solving and debugging skills in complex systems    Experience with Python, CUDA or edge computing platforms are beneficial Familiarity with ML frameworks such as PyTorch, TensorRT, or vision libraries like OpenCV are a plus    Please note: You do not need to meet every single requirement to apply. We welcome motivated candidates who are eager to grow into the role and develop their expertise further.   What We Offer Join a mission-driven European defense tech company at a pivotal stage of growth, where you can help shape meaningful technology, take ownership early, and grow with the business!   Competitive compensation package including a bonus opportunity   27 vacation days to start, increasing with tenure up to 30 days   Employer-supported pension contribution   Learning & development support and team events budget   Employee discounts and flexible benefits budg