Engineer

About The Role

At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles. As a Staff Engineer – Robotics Perception, you will develop the systems that enable robots to interpret complex outdoor environments and make safe, reliable decisions in real time. 

You will work closely with autonomy, navigation, hardware, and software teams to integrate perception capabilities into a unified robotics platform. Your work will directly influence how autonomous and teleoperated systems operate in challenging, unstructured environments under real-world constraints. 

What You’ll Build

• Design and implement perception algorithms for object detection, terrain classification, obstacle detection, and scene understanding in off-road environments
• Fuse and process sensor data from LiDAR, cameras, radar, IMU, and GNSS for robust environmental interpretation and free-space understanding  
• Develop ML and deep learning-based models to improve perception performance in dynamic outdoor conditions 
• Optimize real-time perception pipelines for embedded systems under strict size, weight, and power constraints 
• Test and validate perception systems in simulation and real-world environments, including harsh conditions such as mud, dust, and rain 
• Integrate perception outputs into navigation and path planning systems for safe autonomous traversal 
• Support system-level calibration, synchronization, and sensor alignment in collaboration with hardware and systems teams  
• Continuously improve robustness and reliability through field testing and data-driven iteration  
• Work across teams to ensure perception systems are deployable, scalable, and production-ready  

What You Bring

• Advanced degree (MSc or higher) in Robotics, Computer Vision, Machine Learning, or a related engineering field
•  10+ years of professional experience developing robotics perception algorithms and computer vision models (e.g., multi-modal perception, object tracking) in regulated sectors (e.g., robotics, medical, defence, aerospace, or marine)
• Strong proficiency in Python and C++ for robotics and ML system development 
• Solid understanding of perception fundamentals including object detection, segmentation, terrain understanding, and obstacle detection in unstructured environments 
• Experience developing and deploying machine learning-based perception systems in real-world robotics applications 
• Hands-on experience with frameworks such as PyTorch and TensorRT