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

📅 Mar 30
Machine VisionAI/MLField EngineeringTroubleshooting

📜 Description

  • Travel to customer manufacturing facilities for system installation and support
  • Troubleshoot electrical, mechanical, and software issues in real-time
  • Train operators and engineers on system operation and best practices
  • Act as a trusted technical advisor to manufacturing and quality teams

🛠️ Requirements

  • Bachelor's degree in Engineering, Computer Science, or related technical field
  • 3–8+ years of experience in manufacturing, industrial automation, or field engineering
  • Hands-on experience with machine vision systems in industrial environments
  • Strong troubleshooting skills across hardware and software systems
  • Ability to travel frequently (50% or more), including time on factory floors
  • Experience with computer vision frameworks (e.g., OpenCV)
  • AI/ML model deployment in production environments
  • Familiarity with PLCs and industrial automation systems

Benefits

  • Competitive pay and equity
  • Gym membership reimbursement
  • Medical
  • Dental
  • Vision insurance with 100% paid premiums
  • Deploy and configure vision systems in production environments
  • Design and optimize vision solutions for inspection and defect detection
Full job description

As a Field Applications Engineer, you will deploy and optimize machine vision and AI-driven solutions in manufacturing, ensuring successful implementation and performance in production settings.

Description

  • Travel to customer manufacturing facilities for system installation and support
  • Troubleshoot electrical, mechanical, and software issues in real-time
  • Train operators and engineers on system operation and best practices
  • Act as a trusted technical advisor to manufacturing and quality teams

Requirements

  • Bachelor's degree in Engineering, Computer Science, or related technical field
  • 3–8+ years of experience in manufacturing, industrial automation, or field engineering
  • Hands-on experience with machine vision systems in industrial environments
  • Strong troubleshooting skills across hardware and software systems
  • Ability to travel frequently (50% or more), including time on factory floors
  • Experience with computer vision frameworks (e.g., OpenCV)
  • AI/ML model deployment in production environments
  • Familiarity with PLCs and industrial automation systems

Benefits

  • Competitive pay and equity
  • Gym membership reimbursement
  • Medical
  • Dental
  • Vision insurance with 100% paid premiums
  • Deploy and configure vision systems in production environments
  • Design and optimize vision solutions for inspection and defect detection
🕒 yesterday

As a Software Quality Operations Specialist, you will enhance the safety and reliability of autonomous driving technology by leveraging AI and machine learning to improve quality assurance processes.

Machine LearningGenerative AIQuality AssuranceData Analysis

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