Software Engineer - Test Automation

About the role

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.

Responsibilities

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

Requirements

• 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).
• 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.

Qualifications

• 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.

Pay

Base Pay Range: $117,800.00 - $200,300.00 Annually

Benefits

• Medical, dental, vision, life, and other voluntary benefits.
• 401(K) including company matching.
• Employee stock purchase program (ESPP).
• Student debt assistance.
• Tuition reimbursement program.
• Development and career growth opportunities and programs.
• Financial planning benefits.
• Wellness benefits including an employee assistance program (EAP).
• Paid time off and paid company holidays.
• Family care and bonding leave.