What are the responsibilities and job description for the Application Engineer position at Advantest?
As a member of the AAI applications engineering team, you will work closely with customers, R&D, internal team members to define, develop, and deploy next-generation AI capabilities for the V93000 platform. This role sits at the intersection of semiconductor test engineering and AI, driving the transformation of traditional test workflows into AI-powered systems. 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, debugging and root cause analysis, and 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 design and execute pre/post 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
You will work in a hybrid environment combining:
- 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:
Requirements
- Degree in Electrical/Electronics/Computer science Engineering or equivalent
- Strong experience as a Test/Application Engineer on the V93000 platform or any other ATE platform is a plus
- Solid understanding of AI concepts applied to engineering workflows, such as LLMs, retrieval-augmented generation (RAG), and automation and code generation
- Strong software skills (Java and Python), including test program development and scripting or tool development
- Ability to translate customer problems into scalable technical solutions
- Excellent customer-facing and pre/post 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