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.
Similar Jobs
Artificial Intelligence • Cloud • Information Technology • Machine Learning
Design and build secure, cloud-native AI applications using LLMs, RAG, and Amazon Bedrock to provide AI-assisted search, summarization, and clinical question-answering; integrate with enterprise healthcare systems using FHIR/HL7, implement vector search and prompt orchestration, ensure Fed security/privacy compliance and CI/CD, and support testing, monitoring, and governance for production readiness.
Top Skills:
Amazon BedrockAws (Aws Cloud Services)C#CcdCi/CdDevsecopsEmbeddingsFhirGitHl7Icd-10JavaJSONLarge Language ModelsLoincPythonRest ApisRetrieval-Augmented Generation (Rag)RxnormSemantic SearchSnomed CtVector Databases
Retail
Design, build, and iterate AI agents, copilots, and assistant experiences using Microsoft Copilot Studio, Azure AI, and Power Platform. Configure knowledge sources, partner with stakeholders to prototype solutions, evaluate agent performance, refine prompts and grounding, and document and package reusable templates toward production readiness.
Top Skills:
APIsAzure AiAzure Ai StudioAzure OpenaiDataverseEnterprise SearchMicrosoft Copilot StudioMicrosoft GraphMicrosoft TeamsPower AppsPower AutomatePower PlatformRetrieval-Augmented GenerationServicenowSharepointSQL
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Configure and support SAP reporting within the Record-to-Report OneGL program. Build CDS views, develop/configure reporting solutions, create test scripts, troubleshoot defects, support month-end close, and collaborate with onshore/offshore teams for implementation, enhancement, and training.
Top Skills:
AbapAnalysis For OfficeCore Data Services (Cds)EclipseSap Analytics CloudWeb Intelligence
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
