Key Responsibilities

Algorithm Development:

o   Design and implement computer vision algorithms and AI models for perception, manipulation and pick & place.

Integration & Deployment:

o   Integrate vision and AI modules into robotic systems for autonomous navigation and manipulation.

o   Optimize algorithms for real-time performance on embedded platforms (GPU/Edge devices).

Research & Innovation:

o   Stay updated with the latest advancements in AI, deep learning, and robotics.

o   Prototype and validate new approaches for perception and autonomy.

Collaboration:

o   Work closely with robotics engineers, control system specialists, and hardware teams to ensure seamless integration.

o   Participate in cross-functional design reviews and testing.

Qualifications

Education:

o   Bachelor’s or Master’s degree in Computer Science, Robotics or related field.

Technical Skills:

o   Strong proficiency in Python/C++ and frameworks like OpenCV, TensorFlow, PyTorch.

o   Experience with perception, vision transformers, sensor fusion, and real-time systems.

o   Familiarity with ROS (Robot Operating System) and embedded systems.

Preferred:

o   Knowledge of reinforcement learning, 3D vision, and multi-modal perception.

o   Experience deploying models on edge devices (Jetson, FPGA, etc.).

Soft Skills

·        Strong problem-solving and analytical skills.

·        Ability to work in a fast-paced, collaborative environment.

·        Excellent communication and documentation skills.