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 Machine Vision Engineer to join our team on 2^nd Shift. 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: Assist in the design and implementation of machine vision systems for industrial automation, quality inspection, defect detection, and process monitoring.</li> <li>Hardware Setup: Help select, test, validate, and maintain core vision components including cameras, lenses, lighting, and controllers.</li> <li>Deployment & Support: Participate in the installation, testing, and commissioning of vision systems on production lines under the guidance of senior engineers.</li> <li>Cross-Functional Collaboration: Collaborate with cross-functional teams to integrate inspection systems and receive technical mentorship from senior engineering staff.</li> <li>Troubleshooting: Help investigate and resolve vision system errors and process failures using root-cause analysis methods.</li> <li>Training Assistance: Assist in training production staff on daily operation, basic troubleshooting, and maintenance of vision equipment.</li> </ul> <p><strong>REQUIRED QUALIFICATIONS</strong></p> <ul> <li>Education: Bachelor’s degree in Electrical Engineering, Computer Science, Physics, Robotics, or a related discipline.</li> <li>Experience: 2+ years of hands-on experience or academic project work involving machine vision systems or manufacturing environments.</li> <li>Vision Platforms: Exposure to or basic familiarity with industrial hardware ecosystems like Cognex, Keyence, Basler, or Sick.</li> <li>Programming: Foundational coding skills in Python, C#, or C++.</li> <li>Optics Basics: Basic understanding of camera selection, lens optics, lighting techniques, and sensor calibration.</li> <li>Automation Exposure: Basic knowledge of how vision systems interface with industrial controls like PLCs and robotics.</li> </ul> <p><strong>PREFERRED QUALIFICATIONS</strong></p> <ul> <li>Libraries & Frameworks: Academic or internship experience with core vision software like OpenCV, PyTorch, or TensorFlow.</li> <li>Software Practices: Familiarity with modern development workflows, including Git version control.</li> <li>3D Vision: Exposure to 3D imaging techniques like structured light or stereo vision.</li> <li>Smart Manufacturing: Familiarity with factory automation software or IIoT protocols.</li> <li>Security Clearance: Possession of an active Secret or Top-