SW Applications Engineer

Applied Materials India Private Limited

Mumbai0–4 yrs1d agovia Naukri

About the Role

This position is within the Process Diagnostics and Control (PDC) group, focusing on advanced imaging, image processing, AI algorithms, and electronic design data. The role involves detecting, measuring, and classifying nanometer-size defects and pattern variations from semiconductor fabrication process steps. As a key contributor to multi-source data products and AI-based solutions, this engineer will play a central role in shaping and driving product success in the field.

Key Responsibilities

  • Product Performance & Application
  • Maximize the performance of Data Products through deep understanding of customer use-cases and close technical collaboration with R&D, Algorithms, and Product teams.
  • Extend applicative expertise across multiple data sources (CAD, design, process, inspection) and beyond the full PDC product portfolio.
  • Ensure applicative value and readiness of SW and algorithmic solutions prior to and during field deployment.
  • Field Execution & Customer Success
  • Drive adoption and integrated deployment of Data Product solutions at leading semiconductor fabs worldwide.
  • Serve as the technical escalation point for complex field issues, providing rapid resolution and root cause analysis.
  • Develop utilities and scripts (Python) for debugging, workflow automation, and issue isolation.
  • Innovation & Roadmap Contribution
  • Conceptualize and prototype technical flows that convert multi-source data into new applications and insights.
  • Translate Voice of Customer (VoC) and field learnings into concrete product requirements and roadmap inputs.
  • Explore and validate AI/ML-based approaches that advance PDC's data product capabilities.

Requirements & Tech Stack

  • Proficiency in Python; experience building scripts, tools, or analytical workflows.
  • Familiarity with AI/ML concepts and practical experience applying them to data analysis or product development.
  • Comfort with GenAI-assisted development tools (e.g., Claude, Copilot) for code generation, debugging, and documentation.

Qualifications

  • Masters / Bachelors degree in Electronics Engineering, Computer Science, VLSI, or a related field.
  • 2-5 years of experience in semiconductor process and defectivity, with hands-on knowledge of CAD and design-based inspection concepts.
  • Willingness to travel ~50% to leading fabs globally.
  • Strong analytical and problem-solving skills with the ability to work independently and within cross-functional teams.
  • Excellent communication skills equally effective with customers, field teams, and R&D engineers.

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