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Autonomous Robotics Systems Engineer

2 weeks ago

Pune, Maharashtra, India beBeeAutonomous Full time ₹ 12,00,000 - ₹ 24,00,000

Job Title : Autonomous Robotics Systems Engineer

Experience : 2 to 4 years of experience in robotics, computer science, or a related field.

Location : Mundwa, Kalyani Nagar, Pune.

Work Mode : Work from Office (Monday to Friday).

Job Overview

We are seeking an experienced engineer with expertise in fleet management systems and autonomous navigation. The candidate will be responsible for designing, developing, and deploying robotic fleets integrated with OpenRMS and OpenTCS platforms using 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

  • Proficiency in OpenRMS: .NET Core, Visual Studio, Modular architecture (CQRS, Onion/Hexagonal), Module development: Product Management, Location Management, Inventory.
  • Proficiency in 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 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, or Vue.js.
  • Backend scripting in Python, Java, or Node.js.

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.