Application Engineering Intern

Job Summary We are looking for a motivated and technically curious intern to join our Application Engineering team. The intern will learn and grow their analytical and quantitative skills while doing test program debugging and development, and will work on generating templates that allow AI integration for automated test program generation. What You Will Do Use large language models (LLMs) and AI coding assistants to rapidly prototype scripts, data pipelines, and analysis tools that support test program development. Automate repetitive engineering tasks such as test data extraction, result parsing, yield analysis, and report generation using AI-augmented toolchains. Collaborate with test, design, and product engineers to identify manual bottlenecks and implement intelligent automation solutions. Build and maintain dashboards or internal tools that provide real‑time visibility into test metrics, yield trends, and program health. Evaluate and integrate emerging AI tools and APIs into existing engineering workflows to improve team productivity. Document processes, automation recipes, and best practices to enable team-wide adoption. Why This Role Matters AI chips are pushing the boundaries of performance and complexity, and the engineering workflows that bring them to life must evolve just as fast. By embedding AI-driven automation directly into our test and validation pipeline, you will help reduce time-to-market, improve yield, and enable the team to focus on high‑value engineering challenges instead of repetitive manual tasks. Your work will have a tangible impact on products that power the future of artificial intelligence. What You Will Gain Hands‑on experience applying AI to real‑world semiconductor engineering problems. Deep exposure to the full silicon lifecycle — from design validation through high‑volume manufacturing. Mentorship from experienced test and product engineers at the forefront of AI chip development. A portfolio of automation projects you can showcase to future employers. The opportunity to shape how a world‑class engineering team integrates AI into daily operations. Requirements Currently pursuing a B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Strong programming skills in Python; familiarity with scripting, data manipulation (Pandas, NumPy), and API integration. Demonstrated interest in or hands‑on experience with AI/ML tools, LLMs, prompt engineering, or AI-assisted development (e.g., Claude, ChatGPT, Copilot). Exposure to any of the following is a plus: semiconductor test (ATE), silicon validation, test program development, or hardware debug. Ability to learn quickly, work independently, and communicate technical concepts clearly to cross‑functional teams. This Company is an Equal Opportunity Employer, and does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, or on any other basis prohibited by law. Information on race, gender and national origin will only be used for statistical and record‑keeping purposes, and will not be used in making any employment decisions. All information provided will be kept separate from your expression of interest. Providing this information is strictly voluntary, and you will not be subjected to any adverse action or treatment if you choose not to provide this information. #J-18808-Ljbffr