Engineer

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 
• 8+ years of professional experience developing real-time sensor fusion and localization pipelines (e.g., SLAM, multi-sensor tracking) or state-estimation architecture for autonomous systems in regulated sectors (e.g., robotics, defence, aerospace, or marine).
• 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)