PLC Automation Engineer

Overview

We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more.

Key Responsibilities

• Support the design, development, testing, and deployment of computer vision inspection systems and industrial IoT solutions
• Develop and implement vision-based technologies for manufacturing quality inspection and process improvement initiatives
• Support machine learning and data analysis activities using machine and sensor data
• Contribute to proof-of-technology and proof-of-concept initiatives for digital manufacturing applications
• Maintain awareness of new technologies and industry trends related to industrial automation, AI, and manufacturing innovation
• Collaborate directly with plant floor teams to identify manufacturing challenges and improvement opportunities
• Analyze customer and operational needs and align them with digital technology solutions
• Support implementation of reliable and scalable solutions that improve manufacturing performance, quality, and safety
• Work cross-functionally with engineering, operations, maintenance, and manufacturing stakeholders
• Support issue resolution and continuous improvement initiatives within production environments
• Support integration and interaction between vision systems, machine controls, and industrial equipment
• Work with manufacturing equipment controls and PLC systems such as Mitsubishi, Rockwell, Siemens, and/or Omron
• Aid in data extraction, interpretation, and analysis related to machine health, equipment performance, and product quality
• Support industrial automation and connected manufacturing initiatives across production environments
• Support analytical processes and machine learning applications within industrial IoT initiatives
• Assist with sensor data analysis including vibration, audio, and current signature analysis
• Support predictive maintenance and operational monitoring concepts through data-driven methodologies
• Contribute to continuous improvement of machine learning models and digital solution performance

Profile

• Hands-on engineering professional with experience in manufacturing technology, automation, computer vision, or industrial IoT environments
• Comfortable working in fast-paced manufacturing and plant floor environments with cross-functional teams
• Strong analytical mindset with the ability to troubleshoot technical and operational issues
• Curious, proactive, and solution-oriented with a strong interest in emerging manufacturing technologies
• Effective communicator capable of collaborating with technical and non-technical stakeholders

Mandatory Qualifications

• Bachelor’s degree in Engineering, Computer Science, Electrical Engineering, Controls Engineering, Systems Engineering, Data Science, or related technical field
• Minimum 2+ years of experience in manufacturing automation, computer vision, machine learning, industrial IoT, or related technical environments within the automotive or manufacturing industry
• Experience working within automotive or manufacturing environments
• Understanding of manufacturing equipment controls and PLC systems (Mitsubishi, Rockwell, Siemens, and/or Omron preferred)
• Knowledge of computer vision concepts such as segmentation, feature extraction, image enhancement, camera calibration, classification, pose estimation, and/or deep learning techniques
• Experience with industrial vision systems and technologies such as Cognex, Keyence, HALCON, Matrox, OpenCV, or similar platforms
• Programming experience in Python and/or C++
• Experience analyzing industrial machine or sensor data
• Strong analytical, troubleshooting, and problem-solving skills
• Good communication and cross-functional collaboration abilities

Desired Qualifications

• Experience with AI / Machine Learning applications in manufacturing environments
• Experience with predictive maintenance or industrial sensor analysis
• Experience with vibration, audio, or current signature analysis
• Exposure to industrial networking or embedded systems
• Experience supporting proof-of-concept or innovation initiatives
• Knowledge of industrial IoT architectures and connected manufacturing systems
• Experience supporting manufacturing quality inspection systems
• Familiarity with 3D vision technologies and deep learning-based inspection systems