Genrobotic Innovations

3 weeks ago


Thiruvananthapuram, India Genrobotic Innovations Pvt. Ltd. Full time

About the job :

We are seeking a highly skilled Robotics Software Engineer who can leverage their expertise in Artificial Intelligence (AI) and Machine Learning (ML) to advance our robotics systems, optimizing both performance and functionality.

Your role will involve developing software that enables robots to learn, adapt, and operate autonomously, as well as collaborating with a team to enhance the overall design and operational efficiency of the systems.

Responsibilities :

- Design, implement, and deliver application-specific solutions using the current robotics application Framework.

- Train, validate, and fine-tune machine learning models for real-time robotics applications, including perception, autonomy, and navigation tasks.

- Integrate AI/ML models into robotic systems, ensuring smooth operation in real-time environments, including testing and debugging robotic software.


- Application development for mobile robot navigation and robotic manipulator control.

- Perform bug fixing and improvement of the current application framework using Reverse Engineering.

- Design and implement tools to facilitate application development and testing.

- Development of robotic agnostic mapping system and :

- Knowledge of Robot Operating System (ROS) is mandatory.

- Knowledge on robotics 2D/3D mapping

- Localization & navigation algorithms.

- Hands-on experience with Lidar sensor and stereo camera.

- Proficiency in a couple of types of mainstream programming languages preferably C/C++, Python.

- Knowledge of specific libraries for image processing preferably OpenCV.

- Basic experience in software architecting.

- Knowledge in image processing.

- Able to use tools to manage source code, preferably Git, GitLab.

Qualification : B.Tech/M.Tech in computer science/Robotics or or related field with a focus on AI or Machine Learning.

Experience : 1+ Years Experience involving AI/ML techniques, including but not limited to neural networks, computer vision, reinforcement learning, or robotics.

(ref:hirist.tech)

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