Vision Systems Engineer 4

Lam Research

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Tualatin, OR
Posted
76 days ago
Freshness
Confirmed live today
Closes
Feb 8, 2027

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Salary context

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Similar $187k
$155k $227k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$211,200.

Based on 240 similar postings.

Employer

About Lam Research

Lam Research Corporation is a leading American supplier of wafer-fabrication equipment and services to the global semiconductor industry.

Lam Research currently has 137 open roles on FindRole.

Listed pay typically runs $114,000–$253,000 across 82 roles with salary data.

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At a glance

TL;DR · Vision Systems Engineer 4

The Vision Systems Engineer 4 joins the Equipment Intelligence team within the Deposition Group to drive product development for semiconductor etch and deposition equipment. In this role, you will design, develop, and deploy computer vision algorithms for detection, classification, segmentation, and predictive analytics. You will build scalable machine learning and deep learning models using image, video, and multimodal sensor data while leading the complete data science lifecycle from collection to monitoring. Key responsibilities include developing image-processing pipelines and conducting root-cause analysis to improve yield and process stability. You will utilize C/C++, Python, TensorFlow, PyTorch, and OpenCV. The role requires expertise in CNNs, statistical modeling, and cloud platforms like Azure, AWS, or GCP to solve complex industrial manufacturing and inspection problems.

What you'll do

  • Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, and predictive analytics.
  • Build scalable machine learning and deep learning models using image, video, and multimodal sensor data.
  • Lead the complete data science lifecycle from data collection and labeling to model deployment and monitoring.
  • Develop robust image-processing pipelines using modern computer vision frameworks and cloud technologies.
  • Define data quality standards and establish model performance metrics to ensure production readiness.
  • Conduct root-cause analysis using advanced analytics to improve yield, process stability, and equipment performance.
  • Evaluate emerging AI, machine learning, and computer vision technologies to drive innovation.
  • Mentor junior engineers and provide technical guidance on data science and machine learning best practices.

What we're looking for

  • Master's degree in Data Science, Computer Science, Physics, or related field with 8+ years of relevant experience.
  • Ph.D. in Data Science, Computer Science, Physics, or related field with 5+ years of experience.
  • Strong expertise in computer vision, machine learning, deep learning, statistical modeling, and image processing.
  • Proficiency in C/C++, Python, and libraries including TensorFlow, PyTorch, and OpenCV.
  • Experience developing and deploying production AI/ML systems and handling large-scale structured and unstructured datasets.
  • Strong knowledge of CNNs, object detection, segmentation, and anomaly detection methodologies.
  • Experience with cloud platforms (Azure, AWS, or GCP) and MLOps practices.
  • Experience in semiconductor manufacturing, industrial automation, robotics, or medical imaging (preferred).

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