Senior AI/ML Applications Support Engineer (Semiconductor)

PDF Solutions; Milpitas (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

PDF Solutions in Milpitas, CA, is seeking a Senior Applications Support Engineer to advance semiconductor inspection and analytics products at the intersection of software, ML, and data engineering.

You will provide technical support, train and deploy ML-based defect classification models, and collaborate with cross-functional teams to drive deployment, adoption, and continuous product improvement.

Qualifications

• Master's/PhD in CS/EE/DS/Materials Science or related field.
• 6+ years of experience supporting enterprise software, analytics applications, or manufacturing systems.
• 6+ years of hands-on Python development.
• 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.

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.

Skills

Python development

Problem solving

Communication

Customer interaction

Education

Master's / PhD in CS/EE/DS/Materials Science

Tools

Docker

Kubernetes

OpenCV

Pandas

NumPy

SciPy

Scikit-learn

PyTorch

TensorFlow

Kafka

InfluxDB

Job description

PDF Solutions in Milpitas, CA, is seeking a Senior Applications Support Engineer to advance semiconductor inspection and analytics products at the intersection of software, ML, and data engineering.

You will provide technical support, train and deploy ML-based defect classification models, and collaborate with cross-functional teams to drive deployment, adoption, and continuous product improvement.