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# Software Engineer - Test Automation

- **Company:** Kla Corporation
- **Location:** Milpitas, CA, United States
- **Experience:** Expert
- **Salary:** $117,800 - $200,300
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Business Logic, Build Automation, Automation of Tests, BigQuery, C Sharp (Programming Language), C++ (Programming Language), Code Coverage, Databases, Continuous Integration, Data Cleansing, Data Mining, Data Structures, Software Design Patterns, Apache Hadoop, Python (Programming Language), Machine Learning, Microsoft SQL Server, Microsoft UI Automation, MongoDB, MySQL, NoSQL, Open Source Technology, Redis, Power BI, Tensorflow, Software Engineering, SQL Databases, Test Execution Engine, Strategies of Testing, Windows Desktop, Data Processing, Postman, Pytorch, Large Language Models, Ios Frameworks, Guidewire PolicyCenter, Keras, Kubernetes, Apache Kafka, Non-relational Database, Build Tools, Api Design, Restful APIs, Jenkins, Programming Languages
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-test-automation-milpitas-ca--e977390d-b9f7-4580-9bac-3062ae2dbf36

## About the Role

Software Engineering, Test Automation, Sales, Laptop PC, Flat Panel Displays, Ecosystems, Electronics, Semiconductor Manufacturing, Problem Solving Skills, Printed Circuit Board (PCB), 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., * Programming Languages: Proficiency in C++, C#, Java, Python or R.

 * Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Keras, or similar.
 * Data Handling: Strong skills in SQL, NoSQL 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, MongoDB)
 * Understand system-level requirements and translate them into good software design
 * Solid understanding in computer architecture, design patterns, UI frameworks, and API design
 * Self-starter and quick learner who adapts to dynamic schedules, evolving requirements, and multi-functional work in a complex semiconductor environment.
 * Knowledge with technologies like Kafka, Kubernetes, MySQL, Hadoop, BigQuery and other open-source databases is a plus
 * Experience with Continuous Integration tools and process-Jenkins is a plus
 * Experience with REST API testing tools and automation frameworks-Postman/RestSharp is a plus
 * Strong written and verbal communication skills, Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years.

## Description

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., 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.