Field Applications Engineer (FAE) – Manufacturing (Machine Vision & AI/ML)

This is a hands-on engineering role focused on deploying and optimizing machine vision and AI/ML solutions in real-world manufacturing environments.
You will work directly with engineering, operations, and quality teams on factory floors to solve complex inspection, automation, and process challenges.
The role combines computer vision, AI/ML, industrial automation, system integration, troubleshooting, and customer enablement.
You will help deploy production-ready vision systems involving cameras, optics, lighting, edge devices, and intelligent inspection models.
Your work will directly support improvements in product quality, throughput, yield, first-pass quality, and overall equipment effectiveness.
The position requires close collaboration with sales, deep-learning, product, and engineering teams to deliver effective customer solutions and continuous improvements.
This opportunity is well suited to a technically strong, customer-focused engineer who thrives in fast-paced production environments and is comfortable traveling 50% or more.

The role requires a combination of engineering fundamentals, hands-on machine vision experience, industrial troubleshooting capabilities, and strong customer-facing communication skills.

• Bachelor’s degree in Engineering, Computer Science, or a related technical field.
• 3–8+ years of experience in manufacturing, industrial automation, field engineering, or a closely related area.
• Hands-on experience with machine vision systems and image formation in industrial environments.
• Strong troubleshooting capabilities across hardware and software systems.
• Ability and willingness to travel frequently, with 50% or more travel required.
• Experience designing or deploying computer vision solutions in production environments is preferred.
• Familiarity with computer vision frameworks such as OpenCV and deep-learning-based tools is preferred.
• Experience deploying AI/ML models in production environments is a plus.
• Experience with industrial PLCs, particularly Allen-Bradley or Siemens, is preferred.
• Familiarity with industrial communication networks such as Ethernet/IP, PROFINET, and Modbus.
• Hands-on knowledge of industrial cameras, lenses, lighting, and image acquisition systems is preferred.
• Familiarity with data annotation tools and image dataset management.
• Experience with edge computing or GPU-based inference systems is desirable.
• Knowledge of Lean Manufacturing, Six Sigma, or continuous improvement methodologies is a plus.
• Strong systems-thinking skills across hardware, software, and data pipelines.
• Ability to troubleshoot and optimize systems effectively in high-pressure production environments.
• Clear and confident communication skills when working with operators, engineers, quality teams, and executives.
• Adaptability and strong problem-solving skills in fast-paced and changing manufacturing environments.
• Located near a major airport is advantageous due to the travel requirements.