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 and ML development.
- Strong knowledge of ROS/ROS2, OpenCV, TensorFlow/PyTorch.
- 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.