Application Engineer

Reposted Yesterday
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Hiring Remotely in Germany
Remote
Mid level
Computer Vision
The Role
Serve as the local technical expert for AI vision inspection cameras in Europe: install, configure, integrate with PLCs, troubleshoot electrical and signal issues, perform maintenance, train customers, and optimize inspection systems to reduce false rejects and downtime.
Summary Generated by Built In
🏢 Company Overview

Overview.ai is transforming manufacturing by delivering advanced AI-powered vision inspection systems that ensure exceptional quality and efficiency. Our mission is to make manufacturing smarter, more precise, and scalable through innovative computer vision and robust, user-friendly software.

Founded by Silicon Valley engineers and former Tesla leaders, we support industry innovators like Tesla, SpaceX, Honda, and NVIDIA. We’re rapidly expanding and focused on providing the industry’s most effective and easy-to-deploy AI vision solutions.

📋 Position Overview

We are looking for a talented and adaptable Application Engineer to become our inaugural IC team member in Europe. In this role, you will become an expert in our AI vision inspection cameras, support customer demonstrations pre-sale, and assist with post-sales deployments.

This role calls for strong industrial automation expertise, a problem-solving mindset, and the ability to work independently and directly with customers. As the dedicated local expert, you will act as the primary technical contact for European customers, ensuring swift and reliable support as well as optimal system performance.

🚀 Key ResponsibilitiesSystem Maintenance & Support
  • Maintain and optimize Overview.ai vision inspection cameras across customer sites in Europe

  • Provide rapid troubleshooting to minimize production downtime

  • Perform regular preventive maintenance and system health checks

Technical Deployment & Integration
  • Install, configure, and troubleshoot Overview.ai vision inspection systems on new production lines

  • Work with various PLC platforms and protocols, including Ethernet/IP, Profinet, Modbus, and OPC UA

  • Ensure seamless integration of AI inspection systems with factory automation equipment

  • Use multimeters and oscilloscopes to diagnose and fix electrical and signal quality issues

Customer Support & Training
  • Deliver on-site technical support and guidance to customers

  • Conduct training programs for customer staff on operation and basic troubleshooting

  • Build trusted partnerships with factory teams, production management, and technical staff

  • Document and report recurring issues to enhance product features

System Optimization
  • Address technical challenges such as double triggering, camera response problems, or lighting inconsistencies

  • Adjust PLC ladder logic as needed to resolve integration issues

  • Refine inspection parameters to decrease false rejects while ensuring high detection accuracy

  • Collaborate with headquarters engineering teams for system improvements

🎓 QualificationsRequired Experience
  • Bachelor’s degree in Electrical Engineering, Automation, or a related discipline

  • 3+ years of experience in automation, with proficiency across multiple PLC systems

  • Practical experience troubleshooting electrical circuits using diagnostic tools (multimeters, oscilloscopes)

  • Strong understanding of electrical concepts, including NPN/PNP sensor technology and signal conditioning

  • Familiarity with PLC ladder logic and ability to make necessary modifications

  • Experience managing contractors or small technical teams

Technical Skills
  • Proficiency with industrial communication protocols (Ethernet/IP, Profinet, Modbus, OPC UA)

  • Capability to modify circuits (e.g., resistors, capacitors) to resolve signal problems

  • Knowledge of machine vision lighting and triggering systems

  • Excellent practical diagnostic and problem-solving skills

Language & Communication
  • Working proficiency in English for technical documentation and coordination with HQ

  • Strong communication skills for client and team interactions

  • German language proficiency is an extremely strong plus, however other languages can be considered for technically strong candidates

🌟 Preferred Qualifications
  • Experience with AI-based or automated vision inspection systems

  • Familiarity with automotive, electronics, or other manufacturing environments

  • Prior knowledge of Overview.ai platforms or similar systems (e.g., Keyence, Cognex, Omron, etc.)

  • Experience in high-volume production settings

  • Additional automation certifications or specialized training

💼 Benefits
  • Competitive compensation package with performance bonuses

  • Career growth opportunities in a high-paced, innovative environment

  • Technical training and professional development programs

  • Company-paid international travel for training and support in Asia

  • Work with industry-leading AI vision technology

  • Collaborative, global engineering teams

Skills Required

  • Bachelor's degree in Electrical Engineering, Automation, or related discipline
  • 3+ years of experience in automation with proficiency across multiple PLC systems
  • Practical experience troubleshooting electrical circuits using multimeters and oscilloscopes
  • Strong understanding of electrical concepts including NPN/PNP sensor technology and signal conditioning
  • Familiarity with PLC ladder logic and ability to modify it as needed
  • Proficiency with industrial communication protocols: Ethernet/IP, Profinet, Modbus, OPC UA
  • Ability to modify circuits (resistors, capacitors) to resolve signal problems
  • Knowledge of machine vision lighting and triggering systems
  • Experience managing contractors or small technical teams
  • Working proficiency in English for technical documentation and coordination
  • German language proficiency
  • Experience with AI-based or automated vision inspection systems (e.g., Keyence, Cognex, Omron)
  • Familiarity with automotive, electronics, or high-volume manufacturing environments
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The Company
Year Founded: 2018

What We Do

Overview provides real time fault detection that uses cameras and AI to monitor manufacturing equipment.

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