Senior Principal AI Test Automation Engineer

Advantest • San Jose, CA

13d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed