Robotics software engineer (autonomous navigation)

We are looking for a hands-on Robotics Software Engineer to join our Navigation Team. This is an operational role, not a research one: our robots are already deployed in factories, and we need someone to solve the complex engineering problems that only appear in production.

You will own the software platform beneath our navigation stack. By collaborating across the Software, Hardware, and Customer Support teams, you will ensure our system becomes increasingly robust—taking end-to-end ownership from debugging code to troubleshooting the physical robot on the factory floor.

Key Responsibilities Maintain & Optimize: Debug and refactor existing ROS/ROS 2 C++ and Python codebases rather than building from scratch. Hands-on Hardware: Configure hardware, calibrate sensors (Li DAR, IMU, cameras), and test physical robots.

Testing & Tuning: Measure the robot's performance against tech specs and tune SLAM, localization, and path-planning for dynamic environments. Field Support & Deployment: Troubleshoot production issues, validate bug fixes on hardware, and provide technical assistance for deployed robots.

Requirements Degree in Robotics, Computer Science, Automation Engineering, or a related field. Real-world experience deploying, testing, and maintaining autonomous robot navigation systems. Strong C++ and Python skills with a knack for debugging existing code.

Solid practical ROS/ROS 2 experience, especially the navigation stack (Nav2). Ability to diagnose complex hardware/software interactions and troubleshoot sensors (Li DAR, RGB-D cameras, IMUs). Familiarity with Io T/streaming protocols (MQTT, NATS, Web RTC).

Proactive team player with transparent approach, willing to help others and continuously improve daily operations. Willingness to travel occasionally to customer sites for on-site troubleshooting. Full professional proficiency in English.

Nice to Have Experience with industrial robots, AMRs (Autonomous Mobile Robots), or AGVs, including the commissioning of automation systems and industrial tools. Experience with modern software practices: Docker, Kubernetes, CI/CD pipelines.

Experience with robotic fleets management systems. Familiarity with AI/ML and Deep/Reinforcement Learning techniques applied to robotics. Additional information Contract Type: Full-time Smart Working: Available (e.g., 1 day/week, subject to team policy) Driving Licence: Required Why Join Oversonic Robotics?

Contribute to a pioneering company shaping the future of humanoid robotics in Italy. Work with cutting-edge technology with real-world impact. Collaborate with a passionate and innovative team in a hybrid work environment.

Join a company committed to sustainability, transparency, and social benefit. Enjoy opportunities for professional growth and influence our technological direction.

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