Application Engineer

What you'll do

• Design, develop, and maintain analytics and algorithmic models for industrial applications.
• Translate complex engineering problems and unstructured domain knowledge into structured analytical inputs.
• Analyze operational data to identify patterns, anomalies, and actionable insights for system performance.
• Prototype new algorithmic approaches and support their transition into production software.
• Validate analytical models against real-world scenarios to ensure robustness and practical usability.
• Manage the analytics lifecycle including validation, versioning, and release readiness.
• Interpret model outputs to provide clear engineering recommendations and technical documentation.

What we're looking for

• Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field.
• 5+ years of relevant experience with a Bachelor’s degree, or 2+ years with a Master’s degree, in application engineering or algorithm development.
• Experience with model/version lifecycle management, release processes, or production software environments.
• Basic programming skills in Python, R, or similar for data analysis and prototyping.
• Practical familiarity with applying modern AI/ML techniques, including Generative AI, to knowledge extraction or decision support.
• Experience in industrial, manufacturing, or complex system environments (preferred).
• Exposure to semiconductor equipment systems (preferred).
• Strong software development experience in Python, R, C#, or similar for production-quality code (preferred).