Sr. Software Engineer

KLA•Milpitas, CA

2d•Onsite

About The Position

We are seeking a Software Engineer to join our team, focused on the development and enhancement of Windows desktop applications used for spectral analysis, optimization, recipe development and measurement validation in semiconductor manufacturing metrology tools for yield improvement. This role involves close collaboration with algorithm and application engineers to deliver robust, high‑performance, and user‑friendly engineering software.

Requirements

Proficiency in C# and .NET Framework.
Experience with Windows Presentation Foundation desktop application development.
Working knowledge of C++ and native/managed interop.
Familiarity with asynchronous programming and multi‑threaded applications.
Experience with version control systems such as Git.
Strong problem‑solving and debugging skills.
Effective written and verbal communication and collaboration abilities.

Nice To Haves

Exposure to scientific, engineering, or data‑intensive software applications.
Background in semiconductor manufacturing, metrology, or process control systems (a plus, not required).
Experience with Caliburn.Micro or similar MVVM frameworks.
Familiarity with advanced charting and visualization libraries (e.g., LightningChart, Syncfusion, or equivalent).
Experience with Protobuf or other serialization or messaging frameworks.

Responsibilities

Design, develop, and maintain Windows desktop application features for spectral analysis, troubleshooting, and measurement validation used in semiconductor manufacturing metrology workflows.
Perform requirements analysis and design by working with stakeholders, and domain experts to understand functional and non‑functional needs.
Contribute to software design by producing clear design approaches for features, components, and workflows before implementation.
Implement interactive data visualization components, including charts, heat maps, and data tables.
Collaborate with algorithms and application engineers to translate complex measurement workflows into intuitive and effective UI/UX.
Integrate frontend components with backend computation libraries.
Leverage AI‑assisted development tools (e.g., Claude, GitHub Copilot) to accelerate development, refactoring, and code reviews.
Write clean, maintainable, and testable code with attention to performance and usability.
Debug and resolve software defects reported by internal users and customers.
Participate in code reviews and contribute to continuous improvement of development practices and coding standards.