Job Description

Job Title:- AI/Computer Vision Engineer

Location: warren MI

Duration:2+ years

Contract

Skills and Requirements:

Education: PhD (or thesis-based master's with 3+ years of experiences) in Computer Science, Electrical Engineering, Robotics, or a related field.

Experience:

3+ years' experience in 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 for emerging problems and always seek opportunities for self-growth and improvement

If PhD, ok to not have work exp If MS degree, prefer to have 2 yrs exp -if entry PHD bill rate should be a bit lower.

Job Title: AI/Computer Vision Engineer

Job Description

We are looking for an innovative AI/Computer Vision 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.

Responsibilities

Design, develop, and implement computer vision and AI algorithms for segmentation, object detection, classification, localization, and tracking.

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.

Essential Skills

PhD (or thesis-based master's with 3+ years of experience) in Computer Science, Electrical Engineering, Robotics, or a related field.

3+ years of experience in AI/ML, perception, computer vision, and localization for robotics applications.

Proficiency in developing and deploying AI/ML algorithms, including deep learning techniques for object detection and tracking.

Strong understanding of image processing, feature extraction, and 3D perception techniques.

Proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch).

Experience with ROS (Robot Operating System) for real-time robotics applications.

Experience in deploying AI models on resource-constrained hardware and optimizing performance for real-time inference.

Experience in data collection, labeling, and preprocessing for AI training.

Strong analytical skills for developing solutions for emerging problems and continuous improvement.

Additional Skills & Qualifications

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 of safety and compliance standards in industrial robotics.

Work Environment

This role requires onsite work at a research and development facility. The environment is dynamic and involves collaboration with a multidisciplinary team of engineers. You will be working with cutting-edge technologies and equipment, including robot arms and Intel RealSense cameras, in a setting that prioritizes innovation and precision.

Navya Gupta

Sr. IT Technical Recruiter

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Dice Id: 91022079
• Position Id: 2025-39317

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