Senior Engineer, Robotics Perception

• Develop perception algorithms for object detection, terrain classification, obstacle segmentation, and traversability analysis in off-road environments
• Design robust sensor fusion pipelines combining LiDAR, cameras, radar, IMU, and GNSS data for reliable environmental understanding
• Build real-time perception systems for autonomous ground vehicles operating in dynamic outdoor conditions
• Apply machine learning and deep learning techniques to improve scene understanding and decision-making capabilities
• Optimize perception software for embedded platforms with strict power constraints
• Integrate perception outputs with navigation and path planning systems for safe autonomous traversal
• Test and validate systems in demanding field environments including mud, dust, rain, and uneven terrain
• Use simulation environments to accelerate development, testing, and deployment readiness
• Collaborate across robotics sub-systems to create scalable and production-ready autonomy solutions
• Contribute to the advancement of robotics, AI, and sensor technologies within a fast-moving defense technology environment

What You Bring

• Advanced academic background (MSc or higher) in Robotics, Computer Vision, Machine Learning, or a related engineering field
• Strong software engineering skills in C++ and Python
• Hands-on experience developing perception systems for robotics in real-world, unstructured environments
• Solid understanding of terrain classification, obstacle detection, segmentation, sensor fusion, and traversability estimation
• Experience working with machine learning frameworks such as PyTorch and TensorRT
• Familiarity with perception and 3D data processing libraries including OpenCV, PCL, or Open3D
• Confidence working with ROS2, simulation tools, and robotics development workflows
• Strong understanding of Linux environments, version control, and modern software engineering practices
• A proactive and collaborative mindset with the ability to take ownership in fast-paced development environments
• Experience with CUDA or edge computing optimization are beneficial