Robotics Engineer

Job Title: AI/Computer Vision Engineer, Robotics

Job Description:

We are looking for an innovative AI/Computer Vision Robotics Engineer to join our team. You will be responsible for developing and optimizing algorithms that enable cobot manipulators to perform advanced tasks such as object detection, obstacle avoidance, inventory tracking, and path optimization. This role involves a combination of artificial intelligence, machine learning, and computer vision techniques applied to real-world scenarios in dynamic warehouse and manufacturing environments.

As part of the team, you will collaborate closely with robotics, software, and control systems engineers to ensure seamless integration of vision and AI-based solutions into our robotics systems. Your work will play a critical role in advancing the capabilities of our robots to navigate complex environments and carry out tasks with precision and efficiency.

Job Responsibilities:

• Design, develop, and implement computer vision and AI algorithms for segmentation, object detection, classification, localization, tracking, etc.
• Create and optimize AI models for warehouse-specific tasks such as inventory tracking, object picking, and path optimization.
• Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) for training and deploying machine learning models on embedded systems.
• Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots.
• Perform data collection, labeling, and preprocessing for training AI models.
• Optimize performance of AI models for resource-constrained environments, ensuring low-latency inference on embedded hardware.
• Collaborate with robotics engineers to integrate AI and vision systems with sensors (cameras, LIDAR, etc.) and control systems.
• Test and validate AI models in both simulation and real-world environments.
• Document the development process, algorithms, and results for scalability and implementation.

Skills and Requirements:

• Education: PhD (or thesis-based master's with 3 years of experience) in Computer Science, Electrical Engineering, Robotics, or a related field.
• Experience: 3 years' experience in the domain of AI/ML, perception, computer vision, localization for robotics applications.
• AI and Machine Learning: Proficiency in developing and deploying AI/ML algorithms, including deep learning techniques for object detection and tracking.
• Computer Vision: Strong understanding of image processing, feature extraction, and 3D perception techniques.
• Software Development: Proficiency in Python, C , and deep learning frameworks (TensorFlow, PyTorch).
• Real-Time Systems: Experience with ROS (Robot Operating System) for real-time robotics applications and familiarity with deploying AI models on resource-constrained hardware and optimizing performance for real-time inference.
• Data Handling: Experience in data collection, labeling, and preprocessing for AI training.
• Problem Solving and Continuous Improvement: Strong analytical skills for developing solutions to emerging problems and always seeking opportunities for self-growth and improvement.

Nice to Have:

• Experience with SLAM (Simultaneous Localization and Mapping) and multi-sensor fusion for improved navigation and localization.
• Familiarity with point cloud processing for 3D environment understanding and obstacle detection.
• Experience with GPU programming and CUDA for accelerating AI model inference.
• Knowledge of cloud-based AI services for data processing, training, or deployment.
• Understanding safety and compliance standards in industrial robotics and AI.
• Experience with robot arm and intel real-sense camera.