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Salary: USD 146,000 - 194,000 / annual
Anduril Industries, a defense technology company, is seeking a Senior Machine Vision Engineer to join the Manufacturing Automation team in Costa Mesa, California. The Manufacturing Automation team designs, integrates, and deploys automated manufacturing systems across Anduril factories, and this role offers the opportunity to help define production automation at a national scale.
In this position, you will:
• Design and implement machine vision systems for industrial automation, quality inspection, defect detection, and process monitoring
• Specify, procure, validate, and sustain core vision components including cameras, lenses, lighting, controllers, and software
• Oversee the installation, validation, and commissioning of vision systems across multiple production lines
• Lead technical projects, mentor junior engineers, and collaborate cross-functionally to integrate high-precision inspection systems
• Drive Root Cause Corrective Action (RCCA) investigations for vision system errors and process failures
• Mentor junior engineers and train production staff in daily operation, troubleshooting, and maintenance of vision equipment
Anduril's mission is to transform U.S. and allied military capabilities with advanced technology. The company'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. The organization is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
REQUIREMENTS:
• Bachelor's, Master's, or Ph.D. in Electrical Engineering, Computer Science, Physics, Robotics, or a related discipline
• 5+ years of hands-on industry experience building, deploying, and maintaining machine vision systems in a manufacturing environment
• Direct experience with industrial hardware ecosystems such as Cognex, Keyence, Basler, or Sick
• Proficiency with core vision and deep learning software including OpenCV, Halcon, PyTorch, or TensorFlow
• Strong coding skills in Python, C#, or C++
• Deep understanding of camera selection, lens optics, resolution, lighting techniques, and sensor calibration
• Direct experience interfacing vision systems with industrial controls like PLCs and robotics
• Mastery of classical rules-based tools, advanced defect detection, AI-based vision, and SPC methodologies
PREFERRED QUALIFICATIONS:
• Experience with Industry 4.0 standards, factory automation software, and IIoT protocols such as IO-Link, MQTT, or OPC UA
• Familiarity with modern development workflows, including Git version control and CI/CD pipelines
• Experience with 3D imaging techniques like structured light, time-of-flight (ToF), or stereo vision for robotic guidance and inspection
• Possession of an active Secret or Top-Secret security clearance
