Robotics Systems Developer

2 weeks ago

Gandhinagar, Gujarat, India beBeeAutonomous Full time ₹ 2,16,000 - ₹ 4,20,000

Job Opportunity: Robotics Developer

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  • Design and implement the navigation and AI stack for autonomous robotic platforms.
  • Develop ROS nodes for navigation, sensor integration, and actuator control.
  • Implement SLAM (Simultaneous Localization and Mapping) for autonomous navigation in crowded environments.


Responsibilities Immediate Responsibilities

- Develop ROS nodes for navigation, sensor integration, and actuator control.
- Implement SLAM (Simultaneous Localization and Mapping) for autonomous navigation in crowded environments.
- Integrate sensors (LIDAR, depth cameras, IMU, ultrasonic) with the robots control system.
- Design path planning, obstacle avoidance, and motion control algorithms.
- Work with embedded engineers to ensure hardware-software integration.

Future Responsibilities

- Develop AI-based perception systems (object detection, crowd analysis, anomaly detection).
- Build multi-robot coordination and fleet management solutions.
- Implement cloud-based or remote robot monitoring dashboards.
- Optimize performance for large-scale deployment in public spaces.

Candidate Requirements

- Strong experience with ROS (Robot Operating System) and robotic middleware.
- Proficiency in C++ and Python.
- Experience with SLAM, navigation, and control algorithms.
- Hands-on integration of LIDAR, camera, and IMU sensors.
- Knowledge of OpenCV, TensorFlow/PyTorch for vision systems (preferred).
- Strong problem-solving and debugging skills in robotics environments.

Growth Path & Compensation

Stage 1 Training Phase

- Duration: 6 months trainee program focused on robotics projects.

Stage 2 Probation Period

- Duration: 2.5 months (post-training evaluation).

Stage 3 Full-Time Employment

- Increment: Performance-based salary growth after 1 year of confirmed tenure.
- Opportunity to grow into Lead ROS/AI Engineer with ownership of navigation stack.

Why This Role?

- Hands-on opportunity to build real autonomous robots in an R&D environment.
- Exposure to both ROS navigation and AI/vision systems.
- Work on impactful projects with direct real-world deployment.

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