Embedded Systems Engineer
We’re hiring an Embedded Systems Engineer to build the backbone of our onboard intelligence. You'll work directly with sensors, edge devices, and communication protocols to ensure robust real-time performance in challenging maritime conditions.
Project description:
AI-Powered Autonomous Navigation System for Unmanned Surface Vessels (USVs)
We are developing a cutting-edge autonomous navigation system powered by artificial intelligence, specifically designed for Unmanned Surface Vessels (USVs). This project represents a completely new domain of research and development at the intersection of AI, robotics, and maritime defense technology.
Our goal is to enable USVs to operate intelligently and independently in complex, dynamic environments—whether in open sea, coastal zones, or combat scenarios.
This initiative is not just an engineering challenge—it is the foundation of a new generation of naval autonomy. The project pushes the boundaries of current defense capabilities and opens the door to safer, smarter, and more efficient maritime operations.
Responsibilities:
- Integrate AI, navigation, and sensor modules into embedded hardware
- Develop efficient code for Jetson, Pixhawk, STM32, or similar platforms
- Manage communication protocols (CAN, UART, SPI, I2C) and data pipelines
- Optimize power usage, latency, and fault tolerance
Requirements:
- Strong experience in C/C++, embedded Linux, and edge AI deployment
- Familiarity with NVIDIA Jetson, STM32, or microcontroller environments
- Previous experience with real-time systems and hardware integration