Robotics Fleet Management Engineer

4 days ago

Pune, India Antal International Full time

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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