Senior Principal AI Test Automation Engineer

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.

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, GitLab 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—not

simply a successful pipeline result.

You can connect AI capabilities to real engineering environments while

maintaining validation, traceability, safety controls, and expert oversight.