Senior Machine Vision Engineer, Manufacturing Automation

Anduril Industries

Confirmed live 4 days ago High trust

Quick summary

Work type
On-site
Location
Costa Mesa, CA
Salary
$147,000–$196,000 / yr
Posted
54 days ago
Freshness
Confirmed live 4 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k
This role $172k
$138k $235k
below market most similar roles pay here above market

This role pays less than 58% of similar roles. Most pay $161,066–$225,312 — the blue band above. At the midpoint, this role pays about $172k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 920 open roles on FindRole.

Listed pay typically runs $166,000–$220,000 across 875 roles with salary data.

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At a glance

TL;DR · Senior Machine Vision Engineer, Manufacturing Automation

The Senior Machine Vision Engineer joins the Manufacturing Automation team to design, integrate, and deploy automated manufacturing systems across factories. This role involves developing machine vision systems for industrial automation, quality inspection, and defect detection while overseeing the procurement and commissioning of core components like cameras, lenses, and lighting. Key responsibilities include leading technical projects, performing root cause analysis for process failures, and mentoring junior engineers. Candidates must possess expertise in industrial hardware ecosystems such as Cognex, Keyence, Basler, or Sick, alongside proficiency in OpenCV, Halcon, PyTorch, or TensorFlow. Required skills include programming in Python, C#, or C++, and deep knowledge of optics, sensor calibration, and interfacing with PLCs and robotics. The work focuses on high-precision inspection and smart manufacturing integration.

What you'll do

  • Design and implement machine vision systems for industrial automation, quality inspection, and defect detection.
  • Specify, procure, validate, and sustain core vision components including cameras, lenses, and lighting.
  • Oversee the installation, validation, and commissioning of vision systems across multiple production lines.
  • Lead technical projects and mentor junior engineers to integrate high-precision inspection systems.
  • Drive Root Cause Corrective Action (RCCA) investigations for vision system errors and process failures.
  • Train production staff on the daily operation, troubleshooting, and maintenance of vision equipment.

What we're looking for

  • 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 rules-based tools, advanced defect detection, AI-based vision, and SPC methodologies.
  • Experience with Industry 4.0 standards, factory automation software, and IIoT protocols (preferred).
  • Familiarity with Git version control and CI/CD pipelines (preferred).
  • Experience with 3D imaging techniques like structured light, time-of-flight, or stereo vision (preferred).
  • Possession of an active Secret or Top-Secret security clearance (preferred).

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