Application Engineer

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