Senior Principal AI Test Automation Engineer

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

This role combines advanced test engineering, software automation, CI/CD, andAI-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 versioncontrolled configurations.

- Establish observability, regression testing, and evidence-based release criteria.

- Mentor engineers and set technical standards for automation and production readiness.

Job Requirements

Required Qualifications
- Extensive experience developing automation for advanced test or measurement systems.

- Strong digital and mixed-signal test-engineering experience.

- Proven ownership of CI/CD systems using Jenkins, Git Lab CI, or similar platforms.

- Strong understanding of test programs, specifications, patterns,instruments, limits, characterization, and result data.

- Strong Python and software-architecture skills.

- Experience with typed APIs, structured schemas, automated testing, and version control.

- Experience integrating software with hardware, instruments, or laboratory environments.

- Ability to lead architecture decisions and solve ambiguous technical problems at Senior Principal level.

- Strong communication and cross-functional collaboration skills.

Preferred Qualifications
- Experience integrating AI or machine-learning capabilities into engineering systems.

- Familiarity with AI agents, structured actions, evaluation gates, or human approval workflows.

- Experience with containerized applications, automated characterization,and multi-version execution environments.

- Experience working in secure or intellectual-property-sensitive environments.

- Familiarity with Java or other hardware-control and test-development languages.

What Success Looks Like During the first year, you will:

- Deliver a trusted and repeatable automated test-execution pipeline.

- Establish clear validation, observability, and failure-diagnosis standards.

- Integrate AI-assisted recommendations into controlled and measurable workflows.

- Reduce manual processes and convert expert knowledge into reusable automation.

- Build a foundation that can support future projects through configuration rather than one-off development.

Ideal Candidate You are a deeply technical test engineer who also thinks like a software architect. You understand that automation must produce reliable evidence—notsimply a successful pipeline result.

You can connect AI capabilities to real engineering environments while maintaining validation, traceability, safety controls, and expert oversight. Job Details Job Type: Full-time Category:
Production Engineering