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Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.
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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 LINK to 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
Master’s / Bachelor’s 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
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
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
Global leader in materials engineering for the semiconductor industry.
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Entry · 2+ years experience
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