Robotics AI Engineer

Job description

Job responsibilities

• Design, develop, and deploy AI algorithms for robotic perception, localization, mapping, planning, and control.
• Build and train machine learning models for robotic autonomy, including multimodal perception and decision-making.
• Develop scalable software systems for robotics using languages such as Python and C++.
• Integrate AI models with robotics hardware, sensors, and embedded systems.
• Improve robustness, reliability, and safety of robotic systems operating in real-world environments.
• Collaborate with robotics engineers, ML researchers, and systems engineers to deliver end-to-end autonomous solutions.
• Test and validate algorithms in simulation and real-world deployments.
• Analyze field data to improve model performance and system reliability.

Job requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Electrical Engineering, or related field.
• Strong programming skills in Python and/or C++.
• Experience with machine learning, deep learning, or AI for robotics.
• Knowledge of robotics frameworks such as ROS/ROS2.
• Experience with robot perception, SLAM, sensor fusion, or computer vision.
• Familiarity with simulation tools and robotics development environments.
• Strong problem-solving skills and ability to work in interdisciplinary teams.
• Experience with robot learning, reinforcement learning, or foundation models for robotics.
• Experience deploying AI models on edge systems or embedded platforms.
• Background in autonomous systems, navigation, or field robotics.
• Experience working with real robotic platforms and sensor systems (LiDAR, cameras, IMU, etc.).