Software Engineer - Test Automation

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays.

The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems.

There is never a dull moment with us.

Job Description /Preferred Qualifications

KLA is seeking a highly skilled Software Engineer in Test Automation with 6+ years of hands-on experience to design, build, and scale code-driven automation across three key areas: UI automation, REST/API automation, and System-level automation for software + hardware-integrated semiconductor products.

This role is ideal for a hands-on engineer with strong software development skills who can create maintainable automation frameworks, implement reliable automated tests, and deliver actionable quality signals by integrating test execution, data extraction, and reporting into repeatable pipelines.

Responsibilities include, but not limited to:

UI Automation

* Develop and maintain automated UI test suites for Windows desktop applications using existing UI automation approaches and improve stability/maintainability of UI automation assets.

* Design reusable UI automation components (object repositories/wrappers) to simplify maintenance and enable scalable UI test development.

API Automation

* Create and maintain automated tests for REST interfaces and service integrations; apply API testing tools and automation frameworks where appropriate

* Support/extend API test coverage initiatives and improve pipeline signal quality (notifications, dashboards, and regression enablement).

System & Hardware-Integrated Automation (End-to-End Product Validation)

* Own end-to-end automated validation for key features, including system workflows where software interacts with hardware/instrumentation; balance automation with targeted manual testing as needed for hardware-integrated scenarios.

* Collaborate with multi-functional team members across engineering, algorithms, systems, hardware, applications, and manufacturing to plan and execute test strategy aligned to releases.

* Build automation and infrastructure that supports complex environments (bench/tool), including scenarios that are hardware-related and require focused validation.

* Lead test planning, test strategy execution, and collaborate with team members across engineering, algorithms, systems, hardware, marketing, applications, and manufacturing teams.

* Build systems that involve databases and our in-house automated testing framework.

* Use intelligent algorithms, e.g. LLM, and business logic to find the root cause of software failures. Present them in an actionable manner through Power BI, dashboards, and other reporting and graphing tools.

Required Technical Skills

* Programming

Languages:

Proficiency in C++, C#, Java, Python or R.

* Machine Learning Frameworks:

Experience with Tensor Flow, PyTorch, Keras, or similar.

* Data Handling:
Strong skills in SQL, No

SQL databases, and data preprocessing.

* Algorithms and Statistics:
Solid understanding of algorithms, data structures, machine learning models, and statistical methods.

* Deep understanding in profiling, scaling and tuning of relational (such as SQL Server) and non-relational databases (such as Redis, Mongo

DB)

* Understand system-level requirements and translate them into good software design

* Solid understanding in computer architecture, design patterns, UI frameworks,…