Machine Vision Engineer, Manufacturing Automation

Anduril Industries

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Costa Mesa, CA
Salary: $132,000–$175,000 / yr
Posted: 56 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k

This role $154k

$122k $227k

below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $147,925–$216,687 — the blue band above. At the midpoint, this role pays about $154k versus about $182k 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 906 open roles on FindRole.

Listed pay typically runs $166,000–$220,000 across 864 roles with salary data.

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At a glance

TL;DR · Machine Vision Engineer, Manufacturing Automation

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The Machine Vision Engineer 2nd Shift, Manufacturing Automation joins the Manufacturing Automation team to design, integrate, and deploy automated systems across factories. This role involves developing machine vision systems for industrial automation, quality inspection, defect detection, and process monitoring. Daily responsibilities include selecting and maintaining hardware components like cameras, lenses, and lighting, as well as installing and commissioning systems on production lines. The engineer will perform root-cause analysis to troubleshoot errors and train production staff on equipment maintenance. Required skills include a degree in a relevant engineering or science discipline, experience with industrial hardware like Cognex or Keyence, and proficiency in Python, C#, or C++. Candidates should also understand optics, PLC interfaces, and robotics, with preferred experience in OpenCV, PyTorch, TensorFlow, and 3D imaging techniques.

Skills

Machine Vision Python C# C++ OpenCV PyTorch TensorFlow Robotics Git IIoT Cognex Keyence Basler Sick 3D Vision

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 active 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 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 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.
Academic or internship experience with core vision software like OpenCV, PyTorch, or TensorFlow (preferred).
Familiarity with Git version control, 3D imaging techniques, factory automation software, or IIoT protocols (preferred).
Possession of an active Secret or Top-Secret security clearance (preferred).

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