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.

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, Sr/Staff Application & AI Engineer (AI Center of Excellence) Location: Remote (U.S. Based) This position may be performed from one of the following U.S. states: AL, AZ, FL, GA,…

• 1 month ago
• Apply easily

• 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%)

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