The AI Application Engineer drives AI transformation in semiconductor test workflows, leading customer engagements and collaborating globally to deploy innovative AI solutions.
Job Summary & Responsibilities
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
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.
Top Skills
AI
Git
Java
Linux
Python
Smartest
V93000
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