AI Application Engineer

Advantest Corp

San Diego, CA

JOB DETAILS
SKILLS
Application Programming Interface (API), Artificial Intelligence (AI), Automation, Benchmarking, Bridge Building, Civil Engineering, Data Science, Debugging Skills, Ecosystems, Git, GitHub, IDE (Integrated Development Environment), Linux Operating System, Machine Tool, Microsoft Visual Studio, Pre-Sales, Product Demonstration, Product Strategy, Productivity Management, Proof of Concept, Python Programming/Scripting Language, Red Hat Linux Operating System, Research & Development (R&D), Root Cause Analysis, Semiconductors, Software Engineering, Source Code/Configuration Management (SCM), Test Program, Testing, Use Cases
LOCATION
San Diego, CA
POSTED
30+ days ago

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

About the Company

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Advantest Corp