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Application Engineer

Advantest
Posted a day ago, valid for a month
Location

San Jose, CA 95103, US

Salary

Competitive

Contract type

Full Time

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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 



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