Robotics Engineer (AI/ML) - Remote

Job Title: Robotics Engineer (AI/ML) – Remote

Company: Chabez Tech

Location: Remote

Employment Type: Full-time (W2 Only)

About Chabez Tech

Chabez Tech is a data engineering and AI products company headquartered in Pennsylvania, focused on delivering innovative solutions that drive operational excellence and digital transformation. Our expertise spans AI/ML, MLOps, data governance, and scalable platform engineering.

Role Overview

We are seeking a Robotics Engineer with AI/ML expertise to design, develop, and deploy intelligent robotic systems. You will work at the intersection of robotics, machine learning, and data engineering to build autonomous and semi-autonomous systems that solve real-world problems.

Key Responsibilities

• Design and develop robotic systems integrated with AI/ML capabilities
• Build and deploy machine learning models for perception, navigation, and decision-making
• Develop algorithms for computer vision, object detection, and sensor fusion
• Work with ROS (Robot Operating System) and robotic simulation tools
• Integrate robotics systems with cloud platforms and data pipelines

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• Collaborate with AI, data engineering, and software teams
• Optimize models for real-time performance on edge devices
• Conduct testing, validation, and continuous improvement of robotic systems

Required Qualifications

• Bachelor’s or Master’s degree in Robotics, Computer Science, AI, or related field
• 3+ years of experience in robotics and machine learning
• Strong programming skills in Python/C++
• Experience with machine learning frameworks (TensorFlow, PyTorch)
• Knowledge of computer vision (OpenCV) and deep learning techniques
• Hands-on experience with ROS and robotic hardware/simulations
• Understanding of control systems, kinematics, and motion planning

Preferred Qualifications

• Experience with autonomous systems (drones, AMRs, self-driving tech)
• Familiarity with reinforcement learning and SLAM (Simultaneous Localization and Mapping)
• Experience with edge AI and embedded systems

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• Knowledge of cloud platforms (AWS, Azure, GCP)
• Exposure to MLOps and model deployment pipelines

Eligibility Criteria (Mandatory)

• Only W2 candidates will be considered
• Must be authorized to work in the U.S. without sponsorship
• Accepted work authorizations:
• U.S. Citizen (USC)
• Green Card Holder (GC)
• H4 EAD
• GC EAD

What We Offer

• 100% Remote work environment
• Opportunity to work on cutting-edge robotics and AI innovations
• Flexible and collaborative culture
• Continuous learning and growth opportunities