Advantest

Role Description This role sits at the intersection of semiconductor test engineering and AI, driving the transformation of traditional test workflows into AI-powered systems. As a member of the US AI R&D team, you will work closely with 93K R&D engineers, AI engineers, and data scientists to define, develop, and deploy next-generation AI capabilities for the V93000 platform. As an AI Application Engineer, you will act as the bridge between semiconductor test engineering workflows and AI systems, enabling step-change improvements in productivity such as: - Test program generation - Debug and root cause analysis - Knowledge-driven engineering workflows You will lead customer engagements for AI solutions, serving as the primary interface for: - Use case discovery - Product definition - Feedback and iterative improvement - Rollout and adoption of new capabilities You will collaborate with global R&D teams to influence product direction and strategy for AI-enabled test solutions. You will design and execute pre-sales and proof-of-concept activities, including: - Customer demos - Benchmark studies - Pilot deployments You will stay current with advances in AI/ML (e.g., LLMs, RAG, agent workflows) and drive internal and external enablement through workshops and training. Technical Environment: - Linux-based systems (e.g., Red Hat Enterprise Linux) - V93000 / SmarTest development ecosystem - Modern AI-assisted development workflows, including: - AI-enabled IDEs such as VS-Code, Cursor, GitHub Copilot, and Visual Studio Code - Markdown-driven prompt and agent design - Python-based automation and AI tooling - API-driven systems, version control (Git), and integration with AI platforms and services Qualifications - Degree in Electrical/Electronics Engineering or equivalent - Strong experience as an Application Engineer on the V93000 platform - Solid understanding of AI concepts applied to engineering workflows, such as: - LLMs - Retrieval-augmented generation (RAG) - Automation and code generation - Strong software skills (Java and Python), including: - Test program development - Scripting or tool development - Proven ability to translate customer problems into scalable technical solutions - Excellent customer-facing and pre-sales experience - Strong debugging, analytical, and problem-solving skills - Ability to lead cross-functional projects and drive outcomes - High ownership mindset: proactive, self-directed, and execution-focused - Comfortable working in global, cross-functional environments - Curiosity and drive to stay at the forefront of AI innovation - Willingness to travel internationally (20–30%) - Candidates throughout the United States are welcome to apply; remote work options may be available.