AI Application Engineer

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 studiespilot 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.

You will work in a hybrid environment combining:

• Linux-based systems (e.g., Red Hat Enterprise Linux)
• V93000 / Smar Test development ecosystem
• Modern AI-assisted development workflows, including:
  • AI-enabled IDEs such as VS-Code, Cursor, Git Hub 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