Senior Machine Vision Engineer, Manufacturing Automation

<div class="content-intro"><p>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.</p></div><div class="section page-centered" data-qa="job-description"> <p><strong>ABOUT THE TEAM</strong></p> <p>Anduril’s Manufacturing Automation team is seeking a Senior Machine Vision Engineer to join our team. The Manufacturing Automation team is responsible for the design, integration, and deployment of automated manufacturing systems across Anduril factories. As a member of this team, you will have the opportunity to help define what production automation looks like for Anduril at a national scale.</p> <p><strong>WHAT YOU’LL DO</strong></p> <ul> <li>System Development: Design and implement machine vision systems for industrial automation, quality inspection, defect detection, and process monitoring</li> <li>Hardware Procurement: Specify, procure, validate, and sustain core vision components including cameras, lenses, lighting, controllers, and software</li> <li>Deployment & Commissioning: Oversee the installation, validation, and commissioning of vision systems across multiple production lines</li> <li>Project Leadership: Lead technical projects, mentor junior engineers, and collaborate cross-functionally to integrate high-precision inspection systems</li> <li>Root Cause Analysis: Drive Root Cause Corrective Action (RCCA) investigations for vision system errors and process failures</li> <li>Training & Support: Mentor junior engineers and train production staff in daily operation, troubleshooting, and maintenance of vision equipment to elevate team technical capabilities</li> </ul> <p><strong>REQUIRED QUALIFICATIONS</strong></p> <ul> <li>Education: Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Science, Physics, Robotics, or a related discipline.</li> <li>Experience: 5+ years of hands-on industry experience building, deploying, and maintaining machine vision systems in a manufacturing environment.</li> <li>Vision Platforms: Direct experience with industrial hardware ecosystems like Cognex, Keyence, Basler, or Sick.</li> <li>Libraries & Frameworks: Proficiency with core vision and deep learning software including OpenCV, Halcon, PyTorch, or TensorFlow.</li> <li>Programming: Strong coding skills in Python, C#, or C++.</li> <li>Optics & Physics: Deep understanding of camera selection, lens optics, resolution, lighting techniques, and sensor calibration.</li> <li>Automation Integration: Direct experience interfacing vision systems with industrial controls like PLCs and robotics.</li> <li>Inspection Methods: Mastery of classical rules-based tools, advanced defect detection, AI-based vision, and SPC methodologies.</li> </ul> <p><strong>PREFERRED QUALIFICATIONS</strong></p> <ul> <li>Smart Manufacturing: Experience with Industry 4.0 standards, factory automation software, and IIoT protocols such as IO-Link, MQTT or OPC UA.</li> <li>Software Practices: Familiarity with modern development workflows, including