Machine Vision Engineer

3M

Quick summary

Work type
On-site
Location
Maplewood, MN
Salary
$124,127–$151,710 / yr
Posted
5 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k
This role $138k
$110k most similar roles pay here $252k

This role pays less than 85% of similar roles. Most pay $162,000–$224,081 — the shaded band above. At the midpoint, this role pays about $138k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About 3M

3M is a diversified technology and manufacturing conglomerate producing thousands of products across healthcare, safety, electronics, transportation, and consumer goods. Industry: Diversified Manufacturing

3M currently has 46 open roles on FindRole.

Listed pay typically runs $145,676–$178,049 across 41 roles with salary data.

Most-posted roles

View all roles at 3M

At a glance

TL;DR · Machine Vision Engineer

Join the Automated Inspection and Measurement group at 3M as a Machine Vision Engineer, where you’ll contribute to digital technology leadership through system integration and application engineering for automated inspection and measurement. Your day-to-day involves implementing machine vision systems to enable automation in manufacturing operations, strategic planning for future needs, and developing custom solutions using opto-mechanical systems and advanced software. You will work closely with a team to solve complex challenges, provide Tier 2 support, and integrate machine vision with robotic processes. Ideal candidates have a master’s degree or equivalent experience in engineering fields, five years of professional machine vision implementation, and expertise with Cognex and Zebra platforms. Strong communication and leadership skills are essential for this role that requires up to 25% travel within the US and internationally.

What you'll do

  • Integrate machine vision systems to enable automation in manufacturing operations.
  • Develop custom inspection and measurement applications focusing on opto-mechanical systems.
  • Plan strategically for future automation needs using machine vision technology.
  • Design, develop, and implement machine vision solutions based on customer requirements.
  • Provide Tier 2 support for installed infrastructure, including potential on-call duties.

What we're looking for

  • Bachelor’s degree or higher in Engineering, verified prior to start.
  • Five years of professional experience implementing machine vision for automation solutions.
  • Expertise integrating machine vision with robotic and automation manufacturing operations.
  • Experience using Cognex and Zebra machine vision platforms.
  • Project management and strategic planning skills for future automation needs.
  • Strong communication, networking, and interpersonal leadership abilities.

More like this

Similar roles

Computer Vision Engineer

Qualcomm

San Diego, CA 110 days ago $148,300$222,500
Python C/C++ PyTorch TensorFlow ONNX OpenCV FPGA RTL SoC deep learning architectures performance profiling tools hardware simulators

Computer Vision Engineer

Anduril Industries

Costa Mesa, CA 12 days ago $191,000$253,000
C++ Rust Python numpy opencv pytorch CUDA GPU SLAM 3D_reconstruction LiDAR integration path_planning real-time_systems robotics computer_vision CI/CD

Computer Vision Software Engineer

Booz Allen Hamilton

Dayton, OH 19 days ago $69,300$158,000
Python MATLAB C C++ Docker Podman PyTorch OpenCV AWS Azure Google Cloud Platform Kubernetes GitLab CI/CD PostgreSQL NoSQL GraphDB

Computer Vision and Machine Learning Engineer

Apple Inc

Sunnyvale, CA 25 days ago $212,000$386,300
Python PyTorch TensorFlow Keras CVML DeepLearning ComputerVision SensorFusion EdgeComputing MultimodalModels OnDeviceInference RealTimeProcessing AlgorithmOptimization ModelEfficiency SpatialComputing

Computer Vision and Machine Learning Engineer

Apple Inc

Sunnyvale, CA 13 days ago $181,100$318,400
Python PyTorch TensorFlow Keras CVPR ICCV NeurIPS CUDA C++ OpenCV Git Jupyter CI/CD Docker AWS Google Cloud Platform Azure PostgreSQL MongoDB GitHub Slack