AI/ML Robotics Engineer (AMR, ROS, Autonomous Systems)

Experience: 1 to 15 Years

Role Overview

We are looking for passionate AI/ML Robotics Engineers with expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Python, Robotics, Autonomous Mobile Robots (AMR), ROS/ROS2, and Autonomous Systems. The ideal candidate will design and develop intelligent robotic solutions for navigation, perception, decision-making, and automation across industrial, logistics, warehouse, and autonomous mobility domains.

Key Responsibilities

- Design and develop AI/ML-powered robotics applications.
- Build computer vision, perception, and autonomous navigation solutions.
- Develop and deploy Machine Learning and Deep Learning models for robotic systems.
- Implement robotic software using ROS/ROS2 frameworks.
- Develop localization, mapping (SLAM), path planning, and obstacle avoidance algorithms.
- Integrate sensors including LiDAR, Camera, IMU, GPS, Radar, and Ultrasonic Sensors.
- Develop autonomous decision-making and control systems for AMRs and AGVs.
- Optimize AI models for edge devices and real-time robotic applications.
- Conduct simulations, field testing, debugging, and deployment.




- Collaborate with multidisciplinary teams across software, hardware, and AI engineering.

Required Skills
- Solid programming experience in Python.
- Good understanding of Artificial Intelligence, Machine Learning, and Deep Learning.
- Experience with PyTorch, TensorFlow, Keras, Scikit-Learn.
- Hands-on experience with ROS/ROS2.
- Knowledge of Robotics Fundamentals, Kinematics, and Motion Planning.
- Understanding of Autonomous Mobile Robots (AMR) and Autonomous Systems.
- Experience with Computer Vision and OpenCV.
- Knowledge of Sensor Fusion, Localization, and SLAM.
- Familiarity with Linux/Ubuntu environments.
- Understanding of cloud and edge deployment concepts.

Preferred Skills
- Experience in Warehouse Automation, Industrial Robotics, or Autonomous Vehicles.
- Exposure to Gazebo, RViz, MoveIt, Isaac Sim, or Webots.
- Experience with NVIDIA Jetson, Edge AI devices.
- Knowledge of Docker, Git, CI/CD, and MLOps.
- Understanding of Reinforcement Learning and Agentic AI concepts.

Educational Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, Electronics, Mechatronics, or related field.

📌 AI ML + Robotics (Bengaluru)
🏢 Infosys
📍 Bengaluru