Senior Machine Vision Engineer, Manufacturing Automation

ABOUT THE TEAM

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.

WHAT YOU’LL DO

• System Development: Design and implement machine vision systems for industrial automation, quality inspection, defect detection, and process monitoring
• Hardware Procurement: Specify, procure, validate, and sustain core vision components including cameras, lenses, lighting, controllers, and software
• Deployment & Commissioning: Oversee the installation, validation, and commissioning of vision systems across multiple production lines
• Project Leadership: Lead technical projects, mentor junior engineers, and collaborate cross-functionally to integrate high-precision inspection systems
• Root Cause Analysis: Drive Root Cause Corrective Action (RCCA) investigations for vision system errors and process failures
• Training & Support: Mentor junior engineers and train production staff in daily operation, troubleshooting, and maintenance of vision equipment to elevate team technical capabilities

REQUIRED QUALIFICATIONS

• Education: Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Science, Physics, Robotics, or a related discipline.
• Experience: 5+ years of hands-on industry experience building, deploying, and maintaining machine vision systems in a manufacturing environment.
• Vision Platforms: Direct experience with industrial hardware ecosystems like Cognex, Keyence, Basler, or Sick.
• Libraries & Frameworks: Proficiency with core vision and deep learning software including OpenCV, Halcon, PyTorch, or TensorFlow.
• Programming: Strong coding skills in Python, C#, or C++.
• Optics & Physics: Deep understanding of camera selection, lens optics, resolution, lighting techniques, and sensor calibration.
• Automation Integration: Direct experience interfacing vision systems with industrial controls like PLCs and robotics.
• Inspection Methods: Mastery of classical rules-based tools, advanced defect detection, AI-based vision, and SPC methodologies.

PREFERRED QUALIFICATIONS

• Smart Manufacturing: Experience with Industry 4.0 standards, factory automation software, and IIoT protocols such as IO-Link, MQTT or OPC UA.
• Software Practices: Familiarity with modern development workflows, including Git version control and CI/CD pipelines.
• 3D Vision: Experience with 3D imaging techniques like structured light, time-of-flight (ToF), or stereo vision for robotic guidance and inspection.
• Security Clearance: Possession of an active Secret or Top-Secret security clearance.