AI Application Engineer

Job 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

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