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Salary: USD 115,000 - 171,000 / annual
Anduril Industries, a defense technology company, is seeking a Machine Vision Engineer to join the Manufacturing Automation team on 2nd Shift 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 assist in the design and implementation of machine vision systems for industrial automation, quality inspection, defect detection, and process monitoring. You will help select, test, validate, and maintain core vision components including cameras, lenses, lighting, and controllers. You will participate in the installation, testing, and commissioning of vision systems on production lines under the guidance of senior engineers, and collaborate with cross-functional teams to integrate inspection systems while receiving technical mentorship.
Your responsibilities will include investigating and resolving vision system errors and process failures using root-cause analysis methods, as well as assisting in training production staff on daily operation, basic troubleshooting, and maintenance of vision equipment.
Anduril's Lattice OS is an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. The company 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 degree in Electrical Engineering, Computer Science, Physics, Robotics, or related discipline
- 2+ years of hands-on experience or academic project work involving machine vision systems or manufacturing environments
- Exposure to or basic familiarity with industrial hardware ecosystems like Cognex, Keyence, Basler, or Sick
- Foundational coding skills in Python, C#, or C++
- Basic understanding of camera selection, lens optics, lighting techniques, and sensor calibration
- Basic knowledge of how vision systems interface with industrial controls like PLCs and robotics
PREFERRED QUALIFICATIONS:
- Academic or internship experience with core vision software like OpenCV, PyTorch, or TensorFlow
- Familiarity with modern development workflows, including Git version control
- Exposure to 3D imaging techniques like structured light or stereo vision
- Familiarity with factory automation software or IIoT protocols
- Possession of an active Secret or Top-Secret security clearance
