Senior Machine Vision Engineer, Manufacturing Automation

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

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.

Responsibilities

• 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.

Required Qualifications

• 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 like 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.

Benefits

• Highly competitive equity grants
• Top-tier benefits for full-time employees, including health, recovery, and other support