
Robotics Fleet Management Engineer
1 week ago
Job Title : Robotics Fleet Management Engineer
Experience : 2 to 4 years
Location : Mundwa, Kalyani Nagar, Pune
Work Mode : Work from Office (Monday to Friday)
Job Overview
We are looking for a Robotics Engineer with expertise in Fleet Management Systems and Autonomous Navigation . The candidate will be responsible for the design, development, and deployment of robotic fleets integrated with OpenRMS and OpenTCS platforms, utilizing real-time navigation systems such as ROS2 and NAV2.
Key Responsibilities
- Develop and integrate fleet management systems using OpenRMS and OpenTCS.
- Implement autonomous navigation with ROS2, Nav2, and Gazebo.
- Design and optimize path planning algorithms (e.g., A*, D*, RRT).
- Build and maintain web-based dashboards and APIs for fleet control and telemetry.
- Interface with IoT devices and telematics systems (e.g., Teltonika) using MQTT, REST APIs, and WebSockets.
- Deploy and manage robotic systems using Docker, Kubernetes, and CI/CD pipelines.
Technical Skills Required
Fleet Management Platforms
- OpenRMS :
- .NET Core, Visual Studio
- Modular architecture (CQRS, Onion/Hexagonal)
- Module development: Product Management, Location Management, Inventory
- Web API development using ASP.NET Core, Angular 2+, TypeScript
- Entity Framework, SQL Server, Domain-Driven Design
- OpenTCS :
- Integration with ROS2-based robots
- Task scheduling and route optimization
- Java backend development using Spring Boot
- Custom extensions for vehicle control and visualization
Robotics & Simulation
- Proficiency in ROS2, Nav2, Gazebo, and RViz
- Experience with SLAM, sensor fusion, and multi-robot coordination
- Strong programming in C++ and Python for robotic systems
Web & IoT Integration
- RESTful API design and integration
- Real-time communication using WebSockets and MQTT
- Frontend development with React, Vue.js, or Angular
- Backend scripting in Node.js, Python, or Java
Preferred Qualifications
- Bachelor's or Master's degree in Robotics, Computer Science, Mechatronics, or a related field.
- Experience with the OpenRemote platform and Docker-based deployments.
- Contributions to open-source robotics or fleet management projects.
- Familiarity with cloud robotics platforms (e.g., AWS RoboMaker, Azure Robotics).
- Knowledge of rigid body dynamics and Multi-DOF system modeling.
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