AI Application Engineer

AI Application Engineer

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.

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 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%)
• Candidates throughout the United States are welcome to apply; remote work options may be available.