Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Advantest has filed one layoff notice in the last twelve months, covering 55 workers, most recently May 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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CI/CD

About the job

Advantest is seeking a Senior Principal AI Test Automation Engineer to design and deliver reliable automation for complex engineering and production test environments.

This role combines advanced test engineering, software automation, CI/CD, and AI-enabled workflows. You will build repeatable systems that validate, execute, monitor, and diagnose technical workloads across laboratory and production environments.

We are looking for a hands-on technical leader who understands both physical test systems and modern software architecture.

Key Responsibilities - Architect production-grade test automation and CI/CD pipelines. - Automate build, validation, execution, artifact collection, analysis, and release gating. - Integrate AI-generated recommendations into controlled engineering workflows. - Define validation and approval gates before automated actions interact with hardware. - Build structured interfaces between AI systems, test software, instruments, and data services. - Develop failure classification, diagnostics, recovery, and escalation processes. - Create reproducible execution environments using containers and version controlled configurations. - Establish observability, regression testing, and evidence-based release criteria. - Mentor engineers and set technical standards for automation and production readiness.