Senior Machine Vision Engineer, Manufacturing Automation

Highlights

• Design machine vision systems for automation and quality inspection.
• Deploy and commission vision systems across multiple production lines.
• Define production automation at national scale for Anduril factories.

What they offer

• Highly competitive equity grants

Ideal candidate

Hands-on automation leader with deep manufacturing experience who owns vision systems end-to-end, mentors engineers, and thrives solving factory-floor problems.

Requirements

• Bachelor's, Master's, or Ph.D. in Electrical Engineering, Computer Science, Physics, Robotics, or related discipline
• 5+ years of hands-on industry experience building, deploying, and maintaining machine vision systems in manufacturing
• Direct experience with industrial hardware ecosystems like Cognex, Keyence, Basler, or Sick
• Proficiency with 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