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Open nowPosted 38 days ago

Senior Principal AI Test Automation Engineer

Advantest288 open roles

Where
San Jose, CA, USA
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Your applicationOpen nowSenior Principal AI Test Automation EngineerAdvantest · San Jose, CA, USA

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Advantest postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 38 days ago

Advantest median: 1 days open

The posting

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.

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