Automation Systems Engineer
Job Summary
Job Description
Cubic Transportation Systems is seeking an Automation Engineer with expertise in Robotic Automation and Artificial Intelligence. The role involves designing, implementing, and optimizing automation solutions by combining physical robotics with intelligent software. The ideal candidate will build scalable robotic automation frameworks, integrate AI/ML for smarter decision-making, and deploy robotic systems to improve efficiency, accuracy, and business outcomes. This position requires collaboration with cross-functional teams and contributing to enterprise-level automation strategy.
Must have:
- Design, develop, and maintain robust automation frameworks and scripts primarily using Python and AI-powered applications.
- Build intelligent bots and automation workflows using RPA tools and integrate them with AI services.
- Design frameworks for end-to-end test automation of robotic and enterprise systems.
- Leverage AI/ML, computer vision, and natural language processing (NLP) to enable smarter robotic automation.
- Train and deploy AI models for object detection, predictive analytics, and anomaly detection.
- Integrate robotic and AI automation with enterprise systems, APIs, and cloud services.
- Ensure seamless operation with CI/CD pipelines and DevOps environments.
- Implement monitoring, logging, and real-time performance tracking of automated systems.
- Bachelor’s degree in Computer Science, Robotics, AI, Electrical Engineering, or related field.
- 3–5 years in automation engineering, with exposure to robotics and AI-driven automation.
- Hands-on experience with robotic automation frameworks (ROS, PLCs, IoT protocols, robotic arms).
- Strong programming skills in Python, Java, or C++.
- Familiarity with RPA tools (UiPath, Blue Prism, Automation Anywhere).
- AI/ML knowledge: computer vision, NLP, TensorFlow, PyTorch, or equivalent frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) and DevOps pipelines.
15 skills required
Job Details
Business Unit:
Cubic Transportation Systems
Company Details:
We are seeking an Automation Engineer with expertise in Robotic Automation and Artificial Intelligence to design, implement, and optimize automation solutions that combine physical robotics with intelligent software. The ideal candidate will work on building or working on existing scalable robotic automation frameworks, integrating AI/ML for smarter decision-making, and deploying robotic systems that improve efficiency, accuracy, and business outcomes.
Job Details:
Key Responsibilities
Design & Development
- Design, develop, and maintain robust automation frameworks and scripts primarily using Python and AI-powered applications.
- Build intelligent bots and automation workflows using RPA tools and integrate them with AI services.
- Design frameworks for end-to-end test automation of robotic and enterprise systems.
AI & Machine Learning Integration
- Leverage AI/ML, computer vision, and natural language processing (NLP) to enable smarter robotic automation.
- Train and deploy AI models for object detection, predictive analytics, and anomaly detection.
- Collaborate with data scientists to incorporate machine learning models into automation pipelines.
System Integration
- Integrate robotic and AI automation with enterprise systems, APIs, and cloud services.
- Ensure seamless operation with CI/CD pipelines and DevOps environments.
- Work on digital twins/simulation frameworks to validate robotic automation before deployment.
Monitoring & Optimization
- Implement monitoring, logging, and real-time performance tracking of automated systems.
- Continuously evaluate automation effectiveness and optimize for efficiency, scalability, and reliability.
- Contribute to knowledge sharing, documentation, and reusable automation libraries.
Collaboration
- Work closely with cross-functional teams (software engineers, QA, AI/ML experts, operations).
- Support senior engineers in developing enterprise-level automation strategy.
- Engage in proof-of-concept projects for emerging automation and AI technologies.
Required Skills & Qualifications
- Education: Bachelor’s degree in Computer Science, Robotics, AI, Electrical Engineering, or related field.
- Experience: 3–5 years in automation engineering, with exposure to robotics and AI-driven automation.
Technical Expertise
- Hands-on experience with robotic automation frameworks (ROS, PLCs, IoT protocols, robotic arms).
- Strong programming skills in Python, Java, or C++.
- Familiarity with RPA tools (UiPath, Blue Prism, Automation Anywhere).
- AI/ML knowledge: computer vision, NLP, TensorFlow, PyTorch, or equivalent frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) and DevOps pipelines.
Soft Skills
- Strong analytical and problem-solving skills.
- Ability to work in collaborative, cross-disciplinary teams.
- Curiosity and adaptability to learn and apply new automation/AI technologies.
- Be a quick learner
Worker Type:
Employee
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About The Company
Cubic creates and delivers technology solutions in transportation that make people’s lives easier by simplifying their daily journeys, and defense capabilities that help promote mission success and safety for those who serve their nation. Led by our talented teams around the world, Cubic is committed to solving global challenges through innovation and service to our customers and partners.We have a top-tier portfolio of businesses, including Cubic Transportation Systems (CTS) and Cubic Defense (CD).CTS is an industry-leading integrator of payment and information solutions and related services for intelligent travel applications.CTS delivers integrated systems for transportation and traffic management, delivering tools for travelers to choose the smartest and easiest way to travel and pay for their journeys, and enabling transportation authorities and agencies to manage demand across the entire transportation network. Cubic Defense provides networked Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance and Reconnaissance (C5ISR) solutions, and live, virtual, constructive and game-based training solutions for both U.S. and Allied Forces. These mission-inspired capabilities enable assured multi-domain access; converged digital intelligence; and superior readiness for defense, intelligence, security and commercial missions.
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