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 $169k
This role $143k
$105k most similar roles pay here $204k

This role pays less than 73% of similar roles. Most pay $143,000–$194,662 — the shaded band above. At the midpoint, this role pays about $143k versus about $169k 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 1768 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1566 roles with salary data.

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View all roles at Anduril Industries

At a glance

TL;DR · Machine Vision Engineer, Manufacturing Automation

The Machine Vision Engineer 2nd Shift, 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. Day-to-day responsibilities include selecting and maintaining hardware components like cameras, lenses, and lighting, as well as troubleshooting system errors using root-cause analysis. The candidate will collaborate with cross-functional teams to integrate inspection systems and assist in training production staff. Required skills include proficiency in Python, C#, or C++, and familiarity with industrial hardware ecosystems such as Cognex, Keyence, Basler, or Sick. Preferred experience includes OpenCV, PyTorch, TensorFlow, Git, 3D imaging techniques like structured light, and knowledge of IIoT protocols to solve complex manufacturing automation challenges.

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, troubleshooting, and maintenance of vision equipment.
  • Integrate inspection systems with industrial controls such as 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 core vision software like OpenCV, PyTorch, or TensorFlow (preferred).
  • Familiarity with Git version control, 3D imaging techniques, factory automation software, or an active Secret/Top-Secret clearance (preferred).

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