SW Applications Engineer
This position is within the process diagnostics and control (PDC) group, which deals with advanced imaging together with cutting edge image processing & AI algorithms and electronic design data to detect, measure and classify nanometer size defects and pattern variations from semiconductor fabrication process steps. As PDC to multi-source data products and AI-based solutions, this engineer plays a central role in both shaping those products and driving their success in the field.
What You’ll Do
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 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
What We Offer
Opportunity to work on cutting-edge semiconductor technology and products.
Direct collaboration with customers and global R&D teams
A role with real product influence — your field learnings shape the roadmap
Dual career track: technical specialist or engineering leadership
A culture of ownership, innovation, and continuous learning
What You Bring
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
Additional Information
Time Type
Full time
Employee Type
Assignee / Regular
Travel
Yes, 50% of the Time
Relocation Eligible
Yes
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
