Vision Engineer

The Vision Engineer develops, maintains, and supports global machine vision applications, scanning technologies, and standards across manufacturing operations. This role requires deep expertise in current vision systems, strong awareness of emerging imaging trends including artificial intelligence, and hands-on capability to solve complex vision system challenges. The Vision Engineer also plays a key role in defining, leading, and maintaining global machine vision standards to ensure consistent, high-quality implementation in manufacturing environments., * Develop and integrate advanced machine vision applications to support global manufacturing and industrial automation processes.

• Maintain and enhance existing vision systems and scanning technologies to improve reliability, accuracy, and throughput.
• Lead the implementation and ongoing maintenance of global machine vision standards across manufacturing facilities.
• Evaluate and adopt emerging imaging technologies and AI-based vision solutions to drive innovation and performance improvements.
• Troubleshoot complex vision-related issues, including hardware, software, and integration problems, to restore system performance quickly.
• Collaborate with robotics, automation, and systems engineering teams to design and deploy integrated vision solutions for material-handling systems, AMRs, cobots, and other automated equipment.
• Support the design, build, and startup of manufacturing systems by specifying, configuring, and validating machine vision components and applications.
• Apply knowledge of plant floor operations and product design manufacturability to ensure vision systems are robust, scalable, and aligned with production needs.
• Participate in global projects across regions, coordinating vision standards, solutions, and best practices to ensure consistent deployment.
• Use programming skills in C++ and Python, along with ROS/ROS2 and related tools, to develop, customize, and optimize vision and automation applications.
• Leverage 3D and manufacturing simulation environments such as NVIDIA Isaac, Omniverse, and Siemens Technomatix Process Simulate to model, test, and validate vision solutions virtually.
• Utilize tools such as Teamcenter and other engineering platforms to manage vision-related data, configurations, and documentation.
• Communicate effectively with cross-functional teams, providing clear technical guidance, documentation, and support for vision systems.
• Manage multiple complex assignments with a high level of autonomy and accountability, ensuring timely delivery and high-quality outcomes.
• Continuously develop technical expertise in machine vision, AI, robotics, and automation, and contribute recognized improvements and innovations to vision standards and applications., This role operates within advanced manufacturing and industrial automation environments that rely heavily on machine vision, robotics, and automated material-handling systems. The Vision Engineer works closely with plant operations, engineering, and global project teams to design, implement, and support vision systems on the plant floor and within virtual commissioning and simulation platforms. The work involves regular interaction with technologies such as Matrox, Keyence, Photoneo, ROS/ROS2, C++ and Python development tools, and 3D simulation environments like NVIDIA Isaac, Omniverse, and Siemens Technomatix Process Simulate. The position typically follows standard engineering and manufacturing business hours, with flexibility to support global projects and plant assignments when needed. The environment emphasizes collaboration, innovation, and continuous improvement, providing opportunities for professional growth, ongoing skill development, and recognition for impactful technical contributions. Job Type & Location

Robotics Visionary Operations Leadership Automation Innovation Scalability Reliability Simulations Coordinating Communication Commissioning Accountability Product Design Machine Vision Problem Solving Machine Learning Material Handling Programming Tools Systems Engineering Industrial Automation Mechanical Engineering Industrial Engineering Advanced Manufacturing Artificial Intelligence Robot Operating Systems Manufacturing Operations Teamcenter (PLM Software) Engineering Design Process C++ (Programming Language) Advanced Imaging Technology Interpersonal Communications Python (Programming Language) Continuous Improvement Process Troubleshooting (Problem Solving)

At least 10 years, * Bachelors degree in Engineering or a related field.

• Extensive technical knowledge in machine vision, including design and application of vision systems.
• Strong technical knowledge of robotics, artificial intelligence, and automation processing.
• Extensive experience with machine vision platforms such as Matrox, Keyence, Photoneo, or related vision technologies.
• Proven experience developing and integrating vision applications into manufacturing and automation environments.
• Demonstrated ability to troubleshoot complex vision-related issues across hardware, software, and system integration.
• Strong analytical and problem-solving skills with the ability to address complex technical challenges.
• Effective communication and interpersonal skills for working with cross-functional engineering and operations teams.
• Ability to manage multiple complex assignments simultaneously with a high level of autonomy and accountability.
• Systems engineering and mechanical engineering supporting the design and implementation of manufacturing systems.
• 10+ years of experience in the design, build, and startup of manufacturing systems.
• 23 years of plant assignment experience, with direct exposure to plant floor operations and production environments.
• Programming knowledge in C++ and Python for developing and customizing vision and automation applications.
• Experience with ROS/ROS2 for robotics and automation system integration.
• Knowledge of artificial intelligence and machine learning as applied to imaging and vision applications.
• Experience with manufacturing and industrial automation, including material-handling systems, autonomous mobile robots (AMRs), cobots, and virtual commissioning.
• Understanding of plant floor operations and product design manufacturability.
• Global project experience across regions, working within diverse manufacturing and engineering environments.

Additional Skills & Qualifications

• AIA Certified Vision Professional (Basic or Advanced).
• Experience with additional vision technologies and suppliers beyond core platforms.
• Familiarity with NVIDIA Isaac, Omniverse, or similar 3D and manufacturing simulation environments.
• Familiarity with Teamcenter, Siemens Technomatix Process Simulate, or similar engineering and simulation tools.
• Ongoing commitment to developing technical expertise in machine vision, AI, robotics, and automation.
• Track record of recognition for outstanding contributions to engineering projects, standards, or innovations., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

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