Description

Key Skills: Linux, OpenCV, Pytorch, Tensorflow, Python, GIT, Linux, OpenCV, Pytorch, Tensorflow, Python, GIT

Roles and Responsibilities:

• Develop robotics software applications for navigation, path planning, SLAM, localization, obstacle avoidance, fleet management, robot coordination, task orchestration, and multi-robot orchestration.
• Build and integrate autonomous robotics workflows using ROS 2 and Python, including real-time robotics workflows and robotics middleware concepts.
• Implement and validate robot perception and vision systems by integrating sensors such as LiDAR, cameras, and IMU, including sensor fusion and object detection workflows.
• Develop and test robotics systems in simulation environments using Gazebo (or similar platforms), including robotics communication and ROS 2 topics/services/actions.
• Collaborate with AI, cloud, IoT, and simulation engineering teams to integrate robotics APIs, backend systems, and simulation validation pipelines.

Skills Required:

• 6-15 years of relevant experience building robotics software and validating robotics workflows in simulation environments.
• Strong Python programming skills with hands-on robotics application development.
• ROS 2 application architecture and ROS-based software development, including ROS 2 topics/services/actions and middleware concepts.
• Linux development and debugging experience, plus Git/GitHub and software development lifecycle practices.
• Robotics simulation development using Gazebo, and vision/perception development using OpenCV, PyTorch, and TensorFlow.

Good to Have:

• Experience with autonomous mobile robots (AMR/AGV), industrial robotics workflows, and AI-integrated robotics systems.
• Exposure to robot perception pipelines, semantic segmentation, autonomous navigation systems, and synthetic data generation workflows.
• Simulation exposure with Unity/Unreal Engine, Docker/containerized deployment, and NVIDIA Omniverse Isaac Sim or digital twin platforms.
• Interest or exposure to Physical AI, cloud/edge AI, and IoT integration for robotics use cases.

Education: Bachelor's Degree in Computer Science or related field; Master's Degree in Robotics or Computer Science or related field

Key Skills

Education

Any Graduate