Robotics AI Engineer

Job Description

We are seeking a highly skilled Robotics AI Engineer to design, develop, and optimize intelligent robotic systems and AI-driven automation solutions. The ideal candidate will have expertise in robotics software, artificial intelligence, machine learning, sensor technologies, and autonomous navigation systems.

As a Robotics AI Engineer, you will work closely with AI researchers, software developers, and hardware engineers to build next-generation robotic platforms capable of real-time decision-making, object recognition, and autonomous operations.

You will play a key role in developing robotic applications for industrial automation, smart manufacturing, healthcare robotics, autonomous vehicles, warehouse automation, and intelligent surveillance systems.

Key Responsibilities

• Design and develop AI-powered robotic systems and automation solutions
• Build intelligent navigation and motion-planning algorithms
• Develop machine learning and deep learning models for robotic applications
• Integrate sensors, cameras, LiDAR, and IoT devices into robotic systems
• Implement computer vision and object detection technologies
• Develop autonomous robotic behaviors and control systems
• Optimize robotic performance, efficiency, and real-time processing
• Test, debug, and deploy robotic software applications
• Collaborate with hardware and embedded systems teams
• Monitor system performance and improve AI decision-making capabilities
• Develop simulation environments for robotic testing and training
• Ensure robotic systems meet safety, reliability, and operational standards

Required Skills

Robotics & AI Skills

• Artificial Intelligence
• Machine Learning
• Robotics Programming
• Autonomous Systems
• Computer Vision
• Deep Learning
• Reinforcement Learning

Programming Skills

• Python
• C++
• ROS (Robot Operating System)
• OpenCV
• TensorFlow / PyTorch

Technical Skills

• Sensor Integration
• Embedded Systems
• Motion Planning
• SLAM (Simultaneous Localization and Mapping)
• Edge AI
• IoT & Automation

Qualifications

• Bachelor’s or Master’s degree in Robotics, Computer Science, Artificial Intelligence, Electronics, or related field
• 2–5+ years of experience in robotics or AI engineering
• Experience working with autonomous robots or intelligent automation systems
• Strong understanding of AI algorithms and robotic architectures

Preferred Certifications

• ROS Certification
• NVIDIA Deep Learning Certification
• AWS Machine Learning Certification
• Microsoft AI Engineer Associate
• Robotics Process Automation (RPA) Certifications

Tools & Technologies

• ROS / ROS2
• Python
• C++
• OpenCV
• TensorFlow
• PyTorch
• Gazebo Simulator
• NVIDIA Jetson
• Arduino / Raspberry Pi
• MATLAB
• LiDAR & Sensor Systems

Career Growth Opportunities

After gaining experience as a Robotics AI Engineer, professionals can advance into roles such as:

• Senior Robotics Engineer
• Autonomous Systems Engineer
• AI Research Scientist
• Computer Vision Engineer
• Robotics Architect
• AI Automation Engineer
• Embedded AI Engineer
• Robotics Product Manager

Industries Hiring Robotics AI Engineers

• Autonomous Vehicles
• Manufacturing & Smart Factories
• Healthcare Robotics
• Aerospace & Defense
• Warehouse Automation
• Smart Agriculture
• Industrial Automation
• Research & Development