Autonomous Robotics Engineer

Infosys; Bengaluru; On-site; INR 900,000 - 1,100,000; Full time

Job summary

Infosys in Bengaluru seeks an Autonomous Robotics Engineer to develop and deploy autonomous robotics solutions across multiple modules, supporting robotic inspection, monitoring, and automation use cases. You will develop ROS/ROS2-based applications, integrate sensors such as LiDAR, cameras, IMU and GPS, and work on localization, mapping, navigation, and path planning.

The role includes simulation, testing, validation, field trials, performance optimization, and producing technical docs and

Responsibilities

• Develop autonomous robotic applications using ROS/ROS2 frameworks.
• Integrate robotic platforms with LiDAR, cameras, IMU, GPS, and other sensors.
• Simulate, test, and validate autonomous navigation systems in both simulation and real environments.
• Collaborate with AI and Computer Vision teams to integrate perception intelligence into robotic platforms.
• Perform testing, troubleshooting, debugging, and performance optimization activities.
• Develop technical documentation, deployment guides, and test reports.

Job description

Autonomous Robotics Engineer

• Contribute to development and deployment of autonomous robotics solutions across multiple modules.
• Support delivery of robotic inspection, monitoring, and automation use cases.
• Participate in simulation, testing, and validation activities.
• Support system performance, reliability, and operational efficiency improvements.
• Develop autonomous robotic applications using ROS/ROS2 frameworks.
• Integrate robotic platforms with LiDAR, cameras, IMU, GPS, and other industrial sensors.
• Support development of localization, mapping, navigation, and path-planning capabilities.
• Implement obstacle detection and avoidance algorithms for autonomous operations.
• Configure and develop robot mission planning and task execution workflows.
• Collaborate with AI and Computer Vision teams to integrate perception intelligence into robotic platforms.
• Perform integration and validation of autonomous navigation systems in simulation and real-world environments.
• Support development of robot fleet management and monitoring capabilities.
• Develop interfaces for communication between robots, edge devices, cloud platforms, and enterprise applications.
• Execute testing, troubleshooting, debugging, and performance optimization activities.
• Develop technical documentation, deployment guides, and test reports.
• Participate in field trials, user acceptance testing, and production deployments.
• Contribute to development of reusable robotics components, libraries, and frameworks.
• Support continuous improvement initiatives, innovation programs, and proof-of-concepts.
• Ensure compliance with safety, cybersecurity, and engineering quality standards.