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.

• 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.

✅ 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.