SW QA Engineer – Advanced

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design.

We are looking for a highly motivated Quality Assurance Engineer to join the Semi‑Manufacturing team in the Calibre business unit within the Design‑to‑Silicon division at Siemens EDA. 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.

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 Machine Learning (ML) models to detect anomalies in regression behavior and using Agentic AI to 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.

• MS plus 3 years of experience in Computer Science, Electrical Engineering, Physics, Mathematics, or a related field, or equivalent practical experience.
• Strong proficiency in Unix/Linux environments.
• Hands‑on experience with shell scripting and interpreted languages such as Python; familiarity with additional scripting or automation languages is a plus.
• Demonstrated ability to learn new technologies quickly and apply analytical problem‑solving skills effectively.
• Strong collaboration skills, with the ability to work efficiently across global teams and time zones.
• Excellent written and verbal communication skills.
• Solid understanding of software quality assurance principles, including building and maintaining automated regression suites.
• Hands‑on experience with product testing, including designing test plans, creating and executing functional and performance tests, analyzing defects, and validating complex software features in production‑grade environments.
• Experience applying AI/ML techniques in software testing (e.g., anomaly detection, AI‑assisted test generation, automated log summarization, or pattern recognition).
• Familiarity with LLMs, multimodal AI, or Agentic AI frameworks to enhance QA productivity, test coverage, or workflow automation.
• Prior experience with QA automation frameworks and CI/CD integrations is a plus.
• Knowledge of computational lithography (RET/OPC), photolithography simulation, or related physical modeling processes 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.

Working at Siemens Software means flexibility – choosing between working at home and the office at other times is the norm. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. We are dedicated to equality and welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need.

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