To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale - faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.
Group/Division The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. KLA's Central Engineering organization is made up of nine Centers of Excellence (CoEs) spanning disciplines like automation, motion control, sensors, platform design, and packaging. Each CoE contributes not only technical deliverables but also deep expertise, best practices, and advanced tools that elevate both what we build - and how we build it.
What You'll Do In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.
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 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
Minimum 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.
About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.
Total Rewards Base Pay Range: $117,800.00 - $200,300.00 Annually Primary Location: USA-CA-Milpitas-KLA
KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: 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, and family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
Use of AI Statement At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews - whether virtual or in person - is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.
Equal Opportunity Statement KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.