Machine Vision Engineer, Manufacturing Automation

Anduril Industries

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Costa Mesa, CA
Salary
$115,000–$171,000 / yr
Posted
8 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $143k
$105k most similar roles pay here $209k

This role pays less than 72% of similar roles. Most pay $142,475–$198,825 — the shaded band above. At the midpoint, this role pays about $143k versus about $171k 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 1740 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1534 roles with salary data.

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View all roles at Anduril Industries

At a glance

TL;DR · Machine Vision Engineer, Manufacturing Automation

Machine Vision Engineer, Manufacturing Automation 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, defect detection, and process monitoring. The engineer will select, test, and maintain core components including cameras, lenses, lighting, and controllers while troubleshooting system errors through root-cause analysis. Key technical requirements include proficiency in Python, C#, or C++, and familiarity with hardware ecosystems like Cognex, Keyence, Basler, or Sick. Candidates should possess knowledge of optics, sensor calibration, and integration with PLCs and robotics. Preferred skills include experience with OpenCV, PyTorch, TensorFlow, Git, 3D imaging techniques like structured light, and IIoT protocols. The role focuses on solving production automation challenges to improve manufacturing efficiency and quality control within a factory environment.

What you'll do

  • Design and implement machine vision systems for industrial automation, quality inspection, and defect detection.
  • Select, test, validate, and maintain core vision components including cameras, lenses, lighting, and controllers.
  • Install, test, and commission vision systems on production lines.
  • Investigate and resolve vision system errors and process failures using root-cause analysis.
  • Train production staff on the daily operation and maintenance of vision equipment.
  • Integrate inspection systems with industrial controls like PLCs and robotics.

What we're looking for

  • Bachelor's degree in Electrical Engineering, Computer Science, Physics, Robotics, or a related discipline.
  • 2+ years of hands-on experience or academic project work involving machine vision systems or manufacturing environments.
  • Basic familiarity with industrial hardware ecosystems such as 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.
  • Experience with OpenCV, PyTorch, TensorFlow, Git, 3D imaging, or IIoT protocols (preferred).
  • Possession of an active Secret or Top-Secret security clearance (preferred).

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