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 

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