Autonomous Systems Engineer

2 days ago


Pune, Maharashtra, India beBeeRobotics Full time ₹ 9,00,000 - ₹ 12,00,000

Job Summary:

We are seeking an experienced Robotics Fleet Engineer to lead the design, development, and deployment of robotic fleets integrated with OpenRMS and OpenTCS platforms. The ideal candidate will have expertise in fleet management systems, autonomous navigation, and 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.

Required Skills and Qualifications:

Fleet Management Platforms:

  • OpenRMS: Proficiency in .NET Core, Visual Studio, modular architecture (CQRS, Onion/Hexagonal), module development, web API development, Entity Framework, SQL Server, Domain-Driven Design.
  • OpenTCS: Integration with ROS2-based robots, task scheduling, route optimization, Java backend development using Spring Boot, custom extensions for vehicle control and visualization.

Robotics & Simulation:

  • Proficiency in ROS2, Nav2, Gazebo, RViz.
  • Experience with SLAM, sensor fusion, multi-robot coordination.
  • Strong programming skills 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, Angular.
  • Backend scripting in Python, Java.

Preferred Qualifications:

  • Bachelor's or Master's degree in Robotics, Computer Science, Mechatronics, or a related field.
  • Experience with 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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