Robotics Engineer (AI/ML)

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

* 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

* 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