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Senior Principal AI Test Automation Engineer

Posted 34 days ago

advantestSan Jose (CA)

SENIORITY

Lead

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About the role

Job Description: Advantest is seeking a Senior Principal AI Test Automation Engineer todesign and deliver reliable automation for complex engineering and productiontest 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 productionenvironments. We are looking for a hands-on technical leader who understands both physicaltest systems and modern software architecture.
Key Responsibilities: Architect production-grade test automation and CI/CD pipelines.- Automate build, validation, execution, artifact collection, analysis, andrelease gating.- Integrate AI-generated recommendations into controlled engineeringworkflows.- Define validation and approval gates before automated actions interactwith hardware.- Build structured interfaces between AI systems, test software, instruments, and data services.- Develop failure classification, diagnostics, recovery, and escalationprocesses.- Create reproducible execution environments using containers and versioncontrolled configurations.- Establish observability, regression testing, and evidence-based releasecriteria.- Mentor engineers and set technical standards for automation andproduction readiness.
Job Requirements
Required Qualifications: Extensive experience developing automation for advanced test ormeasurement systems.- Strong digital and mixed-signal test-engineering experience.- Proven ownership of CI/CD systems using Jenkins, GitLab CI, or similarplatforms.- 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, andversion control.- Experience integrating software with hardware, instruments, or laboratoryenvironments.- Ability to lead architecture decisions and solve ambiguous technicalproblems at Senior Principal level.- Strong communication and cross-functional collaboration skills. Preferred
Qualifications: Experience integrating AI or machine-learning capabilities into engineeringsystems.- Familiarity with AI agents, structured actions, evaluation gates, or humanapproval workflows.- Experience with containerized applications, automated characterization, and multi-version execution environments.- Experience working in secure or intellectual-property-sensitiveenvironments.- Familiarity with Java or other hardware-control and test-developmentlanguages.
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 measurableworkflows.- Reduce manual processes and convert expert knowledge into reusableautomation.- Build a foundation that can support future projects through configurationrather than one-off development.
Ideal Candidate: You are a deeply technical test engineer who also thinks like a softwarearchitect. You understand that automation must produce reliable evidence—notsimply a successful pipeline result. You can connect AI capabilities to real engineering environments whilemaintaining validation, traceability, safety controls, and expert oversight.
Job Details
Job Type: Full-time
Category: Production Engineering

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