PLC Automation Engineer

ALTEN Technology USA•Raymond, OH

6d•Onsite

About The Position

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. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Applicants must be legally authorized to work in the United States without the need for current or future employer sponsorship. This position is not eligible for visa sponsorship. This position is focused on supporting the development, testing, and deployment of innovative digital manufacturing solutions that improve production efficiency, product quality, and operational safety across manufacturing environments. The role involves collaborating closely with plant floor teams and multidisciplinary stakeholders to identify manufacturing challenges and implement reliable technology solutions using computer vision, machine learning, sensor analysis, and industrial automation systems. The engineer will contribute to proof-of-concept development, IoT strategy execution, and deployment of scalable industrial digitalization initiatives while supporting continuous improvement and operational excellence objectives. The position requires strong technical curiosity, hands-on problem-solving capabilities, understanding of industrial systems, and the ability to support emerging technology initiatives in fast-paced manufacturing environments.

Requirements

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.
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
2+ years of experience in manufacturing automation, controls, industrial IoT, computer vision, or related engineering fields
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
Ability to work independently and support multiple technical initiatives simultaneously

Nice To Haves

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

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
Monitor emerging technologies and evaluate their potential application within manufacturing operations
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
Assist with 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
Contribute to execution of IoT and digital manufacturing strategies and roadmaps
Maintain awareness of new technologies and industry trends related to industrial automation, AI, and manufacturing innovation
Support technical discussions, concept evaluations, and implementation planning activities
Promote reliable, sustainable, and scalable technology solutions aligned with operational objectives