> Markdown version of [/jobs/ext/4484042-sw-qa-engineer](https://www.wearedevelopers.com/jobs/ext/4484042-sw-qa-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SW QA Engineer - **Company:** Siemens AG - **Location:** Wilsonville, OR, United States (Remote available) - **Salary:** $90,000.0 - $162,000.0 - **Contract:** Internship / Graduate position - **Skills:** Testing (Software), Artificial Intelligence, Application Integration Architecture, Automation of Tests, Continuous Integration, Software Debugging, Electronic Design Automation, Python (Programming Language), Log Analysis, Regression Analysis, Pattern Recognition, Regression Testing, Shell Script, Software Engineering, Software Quality Assurance (SQA), Performance Testing, Large Language Models, Agentic-AI, Information Technology - **Published:** October 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2673e554b34993c6 ## About the Role Candidates should demonstrate experience in next-generation AI integration into QA workflows and AI-driven quality methodologies, as well as the ability to apply these techniques to EDA tools. This includes leveraging AI and build Agentic AI flows to perform regression analysis, generate test scenarios, validate specifications, create intelligent QA assistants, and enhance automated debugging. Knowledge of semiconductor lithography processes and Electronic Design Automation (EDA) tools is an advantage., * B.S. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related technical field. * Good working knowledge of Unix/Linux environments, including basic command-line operations and shell scripting and interpreted languages such as Python through coursework, academic projects, internships, or personal projects. * Strong analytical and problem-solving skills, with the ability and willingness to learn new technologies quickly. * Strong collaboration and teamwork skills, with the ability to work effectively with colleagues across different teams and locations. * Good written and verbal communication skills. * Basic understanding of software development and software quality assurance principles, including software testing, debugging, and regression testing. * Familiarity with software testing concepts such as test planning, functional testing, performance testing, defect analysis, and result validation through coursework, projects, or internships. * Interest in applying AI and machine learning techniques to software testing, such as anomaly detection, AI-assisted test generation, log analysis, or pattern recognition. * Familiarity with or interest in learning LLMs, multimodal AI, and Agentic AI technologies and their application to software development and QA. * Exposure to test automation, QA automation frameworks, or CI/CD concepts through coursework, projects, or internships is a plus. * Knowledge of or interest in learning semiconductor design, computational lithography (RET/OPC), photolithography simulation, or related physical modeling concepts is a plus. * Ability to work onsite at Siemens facilities in Wilsonville, OR. This position will be subject to U.S. export control requirements under the International Traffic in Arms Regulations (ITAR) and/or Export Administration Regulations (EAR). Employment is contingent on either verifying the U.S. Person status or obtaining any necessary export license. ## Description In this role, you will be responsible for the qualification and continuous quality improvement of core Semi-Manufacturing products in the Calibre suite, including the design, development, and automated execution of application-specific functional, performance, and regression tests. You will work closely with software developers, product engineering, and product marketing to enable timely, high-quality releases that meet our customers' advanced semiconductor manufacturing requirements. This includes developing test plans, maintaining regression suites, creating automation frameworks, generating and analyzing regression reports, and improving testing pipelines using modern methodologies.