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PDF Solutions

Senior Applications Support Engineer

PDF Solutions Milpitas, California, United States

Software Development · 201-500 employees

Yesterday
support-engineer Senior (5-10 yrs) Full-time United States
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About the role

The engineer will provide technical support for semiconductor inspection and analytics applications while deploying and maintaining ML/AI-based defect classification models. They will also collaborate with cross-functional teams to ensure successful solution deployment and analyze large volumes of defect data.

What they look for

Python Machine Learning Artificial Intelligence Semiconductor Inspection Data Engineering Docker Kubernetes OpenCV Pandas NumPy SciPy Scikit-learn PyTorch TensorFlow Kafka InfluxDB

Requirements

Candidates must hold a Master's or PhD in a technical field and possess at least 6 years of experience in enterprise software or manufacturing systems. Proficiency in Python and experience with machine learning frameworks, computer vision, and containerization technologies are required.

Full description

Overview

At PDF Solutions, we help the world's leading semiconductor manufacturers improve yield, quality, reliability, and operational efficiency through advanced analytics, machine learning, and engineering solutions. We are looking for an Senior Applications Support Engineer to support next-generation semiconductor inspection and analytics products, working at the intersection of software, machine learning, data engineering, and customer success.

Responsibilities

  • Provide technical support for semiconductor inspection and analytics applications.
  • Train, validate, and deploy ML/AI-based defect classification models while ensuring high accuracy and performance.
  • Support deployment, validation, and optimization of ML/AI-based defect classification solutions.
  • Analyze large volumes of defect data to identify patterns, trends, and anomalies that drive product and model improvements.
  • Deploy and maintain containerized applications using Docker and Kubernetes.
  • Collaborate with engineering, product, and customer teams to ensure successful solution deployment and adoption.

Qualifications

✅ Master's / PhD degree in Computer Science, Electrical Engineering, Data Science, Materials Science, or a related technical field.

✅ 6+ years of experience supporting enterprise software, analytics applications, or manufacturing systems.

✅ 6+ years of hands-on Python development experience.

✅ Experience with:

  • OpenCV, Pandas, NumPy, SciPy, and Scikit-learn
  • Machine learning frameworks such as PyTorch or TensorFlow
  • Computer vision, image analysis, or defect classification applications
  • MLOps and production ML deployments
  • Kafka, InfluxDB, or similar data platforms
  • Docker and Kubernetes

✅ Strong problem-solving, troubleshooting, and root-cause analysis skills.

✅ Excellent verbal and written communication skills with the ability to work directly with customers and cross-functional teams.

Why Join PDF Solutions?

  • Work on cutting-edge AI/ML applications for semiconductor manufacturing.
  • Collaborate with industry-leading engineers and customers.
  • Gain experience with advanced analytics, distributed computing, and machine learning technologies.
  • Make a direct impact on next-generation manufacturing solutions used across the semiconductor industry.

Pay Range

USD $130,000.00 - USD $180,000.00 /Yr.

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