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Computer Vision Engineer – COBOTS & Autonomous Robots
Computer Vision Engineer – COBOTS & Autonomous RobotsTrilyon, Inc. • FL, United States
Computer Vision Engineer – COBOTS & Autonomous Robots

Computer Vision Engineer – COBOTS & Autonomous Robots

Trilyon, Inc. • FL, United States
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For over 16 years, Trilyon has been a leader in global workforce solutions, specializing in Cloud Technology, AI / ML, Software Development, Technical Writing, and Digital Transformation. We partner with top companies to deliver high-quality talent in engineering, IT, and emerging technologies.

For additional information or to view all of our job opportunities, please visit our website : https : / / trilyonservices.com / careers /

We are seeking a Computer Vision Engineer COBOTS & Autonomous Robots to join our team. This role will involve researching advanced computer vision techniques for collaborative robots (COBOTS) and autonomous systems in manufacturing plants. The ideal candidate will have experience in developing perception systems, designing vision-based algorithms, and deploying robotics solutions with a passion for applying AI in industrial automation.

Job Title : Computer Vision Engineer COBOTS & Autonomous Robots

Location : Mountain View, CA 94035 or Warren, MI 48092 (100% On-site)

Duration : 6 Months

Job Description

As a Computer Vision Engineer COBOTS & Autonomous Robots , you will design and implement vision-based perception systems to enable autonomous navigation, object detection, and obstacle avoidance for industrial robots. You will collaborate closely with robotics engineers to integrate computer vision models into real-world manufacturing environments. The role requires hands-on experience with AI, deep learning, and Python for developing and validating perception algorithms.

Key Responsibilities

Conduct research in advanced computer vision techniques for COBOTS and autonomous robots.

Design and develop vision-based perception systems for navigation, object detection, and obstacle avoidance.

Develop and optimize deep learning models for real-time robotic applications.

Collaborate with robotics engineers to integrate and deploy vision algorithms into physical robots.

Test and validate perception algorithms in real-world manufacturing environments.

Analyze sensor data and refine models to improve accuracy and reliability.

Document research findings, algorithms, and system performance for internal and client use.

Stay updated on emerging trends and advancements in computer vision and robotics.

Provide technical guidance and support to cross-functional teams for AI deployment.

Ensure Computer Vision Engineer COBOTS & Autonomous Robots solutions meet industrial performance and safety standards.

Essential Skills

Expertise in Deep Learning and AI for computer vision applications.

Hands-on experience in Python for Data Science and algorithm development.

Knowledge of Robotic Process Automation (RPA) tools , preferably Automation Anywhere.

Strong analytical and problem-solving skills with a focus on robotics perception.

Experience in designing and deploying vision-based algorithms for real-time systems.

Educational Background

Bachelor's or Master's degree in Computer Science, Electrical / Electronics, Robotics, or related field .

Keywords

Computer Vision, COBOTS, Autonomous Robots, Deep Learning, Artificial Intelligence, Python, RPA, Manufacturing Automation

Why Join Us?

Trilyon, Inc. offers a comprehensive benefits package.

Opportunities for growth and professional development.

Collaborative and inclusive company culture.

Equal Employment Opportunity (EEO) Statement

Trilyon, Inc. is an Equal Opportunity Employer committed to diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected status under applicable laws. Our diverse team drives innovation, competitiveness, and creativity, enhancing our ability to effectively serve our clients and communities. This commitment to diversity makes us stronger and more adaptable.

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