Robotics AI Engineer

Job Summary:

We are seeking a highly skilled and innovative Robotics AI Engineer to join our team. You will be responsible for designing, developing, and deploying intelligent robotic systems that leverage AI/ML algorithms for real-world autonomy, perception, control, and decision-making. This role is ideal for someone passionate about cutting-edge robotics, deep learning, computer vision, and real-time embedded systems.

Key Responsibilities:

• Design and develop AI-powered software solutions for robotic perception, navigation, manipulation, and decision-making.
• Implement machine learning and deep learning models to process sensor data (e.g., LiDAR, camera, IMU).
• Collaborate with hardware, embedded systems, and mechanical engineers to integrate AI capabilities into robotic platforms.
• Develop and optimize algorithms for SLAM, path planning, object recognition, and obstacle avoidance.
• Build simulation environments (e.g., Gazebo, Isaac Sim, PyBullet) to test and validate robotic algorithms.
• Participate in architecture design, code reviews, and performance testing.
• Stay current with advancements in AI/robotics and propose innovative solutions.

Requirements:

Education & Experience:

• Bachelor’s or Master’s in Robotics, Computer Science, Electrical Engineering, Mechatronics, or a related field.
• 3+ years of experience in AI, robotics, or autonomous systems

Technical Skills:

• Proficiency in Python and C++ for robotics
• Experience with robotic platforms and hardware integration (e.g., ARM, NVIDIA Jetson, Arduino, Raspberry Pi).
• Hands-on experience with real-world robots or robotic simulation tools.

Soft Skills:

• Strong problem-solving and critical-thinking skills.
• Excellent communication and team collaboration abilities.
• Self-driven and excited to work in a fast-paced, innovation-focused environment.

Preferred Qualifications:

• Experience with reinforcement learning or imitation learning in robotic applications.
• Familiarity with real-time systems, embedded development, or hardware-in-the-loop testing.