Robotics Software Engineer (Navigation)
Pubblicato il 15-09-2026 - Oversonic in Carate Brianza
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.
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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
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- 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 (LiDAR, 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
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- 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 (LiDAR, RGB-D cameras, IMUs).
- Familiarity with IoT/streaming protocols (MQTT, NATS, WebRTC).
- 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
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- 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.
- Contract: Full-time, permanent.
- Flexibility: A flexible start time (1.5-hour window). xysqume
- Hybrid Work: Opportunity to work from home one day per week.
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