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Robotics Software Engineer

Pubblicato il 02-10-2026 - Strativ Group in Friuli-Venezia Giulia

Embedded/Robotics Software Engineer – UAV Systems
On-site | Italy

We’re supporting an innovative engineering team developing next-generation autonomous aerial systems for industrial, security, and advanced mobility applications.

This is a hands-on role focused on embedded software, flight systems, autonomy, and real-world UAV operations. You’ll work closely with multidisciplinary teams to develop reliable airborne platforms operating in demanding environments.

Key Responsibilities
- Develop and maintain embedded software for autonomous aerial platforms
- Customize and extend autopilot and flight-control functionality
- Implement features related to mission execution, telemetry, navigation, failsafe logic, and payload integration
- Develop software in C++ and Python for onboard and support systems
- Integrate communication pipelines and real-time telemetry systems
- Work with embedded Linux systems on ARM-based hardware
- Support simulation, testing, debugging, and hardware/software integration activities
- Contribute to software architecture, reliability,



and operational safety improvements
- Collaborate with electronics, mechanical, systems, and AI teams throughout development

Required Experience
- Strong background in embedded or robotics software development
- Experience with autonomous systems, UAVs, or robotic platforms
- Strong C++ and Python development skills
- Familiarity with real-time systems and low-level software concepts
- Experience working with Linux-based embedded platforms
- Understanding of sensors, control systems, and system integration
- Comfortable debugging complex hardware/software interactions
- Experience with collaborative development workflows and version control

Nice to Have
- Experience with robotics middleware or autonomy frameworks
- Understanding of a major autopilot ecosystem (PX4/ArduPilot/Betaflight)
- Knowledge of onboard AI, perception, or computer vision pipelines
- Exposure to modern embedded compute platforms and high-s

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