AI Application Engineer

AdvantestChandler, AZ
Remote

About The Position

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.

Requirements

  • Degree in Electrical/Electronics Engineering or equivalent
  • Strong experience as an Application Engineer on the V93000 platform
  • Solid understanding of AI concepts applied to engineering workflows, such as: LLMs retrieval-augmented generation (RAG) automation and code generation
  • Strong software skills (Java and Python), including: test program development scripting or tool development
  • Proven ability to translate customer problems into scalable technical solutions
  • Excellent customer-facing and pre-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
  • Curiosity and drive to stay at the forefront of AI innovation
  • Willingness to travel internationally (20–30%)

Responsibilities

  • 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
  • Collaborate with global R&D teams to influence product direction and strategy for AI-enabled test solutions.
  • Design and execute pre-sales and proof-of-concept activities, including customer demos, benchmark studies, pilot deployments
  • Stay current with advances in AI/ML (e.g., LLMs, RAG, agent workflows) and drive internal and external enablement through workshops and training.
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