Robotics Fleet Management Engineer

2 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Title

Experience

Location

Work Mode


Job Overview

Robotics Engineer


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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