Rapid integration
Pubblicato il 19-08-2026 - Mirai Robotics in Bari
Robotic Hardware Engineer — Rapid Integration & Test
Department: Engineering
Location: Bari, Italy
Employment: Full-time
Work arrangement: On-site
About the role
Mirai is developing an AI-based autonomy platform for vessels under 100 feet. The technology combines robotics, sensor fusion, onboard AI and autonomous-navigation capabilities. The company is also developing Autonomous Surface Vehicles (ASVs) for exploration, utility and operational-support missions.
The position focuses on rapidly integrating and testing robotic systems. The engineer will integrate hardware and software on unmanned vehicles and work with multiple engineering disciplines to prototype, validate and improve complete autonomous systems, taking concepts through to reliable field-ready platforms.
The role combines robotics, AI/autonomy software, hardware integration and real-world testing of Mirai's autonomy stack on prototype platforms.
Main responsibilities
Robotics and autonomy
- Contribute to perception, planning and control using technologies including ROS 2, Isaac ROS,
PyTorch and NVIDIA simulation tools.
- Assist with development and testing of reinforcement-learning models and autonomous behaviours, both in simulation and on real systems.
Hardware and systems integration
- Design, build and test unmanned-system prototypes, converting concepts into working early-stage products.
- Integrate sensors, actuators and control systems into unmanned vehicles.
- Integrate electronic hardware and establish reliable communication between hardware and software.
- Integrate and validate sensor systems involving LiDAR, radar, cameras/vision, GNSS and IMUs.
- Assemble and bring up prototypes incorporating computing hardware, power systems, actuators and electronics.
- Support development of Mirai's sensor-fusion hardware platform.
Prototyping and field testing
- Lead or support rapid prototyping of autonomous-vessel configurations.
- Carry out feasibility assessments, simulations and performance eval