Computer Vision + Robotics

Job Description: Computer Vision / Robotics Engineer

Experience: 1 to 15 Years

Role Overview

We are seeking skilled Computer Vision & Robotics Engineers with expertise in Python, Autonomous Mobile Robots (AMR), ROS/ROS2, and Autonomous Systems. The ideal candidate will contribute to the design, development, and deployment of intelligent robotic solutions for industrial automation, logistics, manufacturing, and autonomous navigation applications.

Key Responsibilities

• Design, develop, and optimize computer vision algorithms for robotic perception and navigation.
• Develop autonomous navigation, localization, mapping, and obstacle avoidance solutions.
• Implement image processing and deep learning models using Python-based frameworks.
• Build and maintain robotic software using ROS/ROS2 architecture.
• Integrate sensors such as LiDAR, Cameras, IMU, GPS, Ultrasonic, and Depth Sensors.
• Develop and validate SLAM, path planning, and motion control algorithms.
• Work on Autonomous Mobile Robots (AMR), AGV, and autonomous robotic platforms.
• Perform simulation, testing, debugging, and deployment in real-world environments.
• Collaborate with cross-functional teams including AI/ML, Embedded Systems, Mechanical Design, and Control Systems.
• Ensure system performance, reliability, and safety compliance.

Required Skills

• Strong programming experience in Python.
• Hands-on experience with Computer Vision and Image Processing.
• Strong knowledge of OpenCV, NumPy, SciPy.
• Experience with ROS/ROS2 development.
• Understanding of robotics fundamentals, kinematics, and control systems.
• Knowledge of AMR, AGV, and autonomous navigation systems.
• Experience with sensor fusion, SLAM, localization, and path planning.
• Familiarity with Linux/Ubuntu environments.
• Understanding of AI/ML and Deep Learning frameworks such as TensorFlow or PyTorch.

Preferred Skills

• Experience with Autonomous Vehicles, Warehouse Automation, or Industrial Robotics.
• Exposure to Gazebo, RViz, MoveIt, Isaac Sim, or Webots.
• Knowledge of Docker, Git, CI/CD, and Cloud-based robotic deployments.
• Experience with edge AI devices such as NVIDIA Jetson.

Qualifications

• Bachelor's or Master's degree in Computer Science, Robotics, Electronics, Mechatronics, AI/ML, or related fields.
• 1 to 15 years of experience in Robotics, Computer Vision, Autonomous Systems, or AMR development.