Tallo logoTallo logo

AI Intern

Job

Advantest America

Austin, TX (In Person)

Full-Time

Posted 6 weeks ago (Updated 1 week ago) • Actively hiring

Expires 5/27/2026

Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

AI Intern Advantest America United States, Texas, Austin Apr 24, 2026 Description Advantest America, a global leader in Semiconductor Test and Measurement, is seeking a motivated and innovative engineering student to explore cutting-edge applications of machine learning and generative AI. This internship provides hands-on experience working with emerging AI systems and integrating them into Advantest's advanced testing platforms.
Location:
Austin, TX or San Jose, CA (headquarters) Role Overview In this role, you will contribute to research and prototyping efforts focused on LLM-powered reasoning and evaluation systems. You will explore how retrieval-augmented generation (RAG) and agentic workflows can be used to analyze, compare, and assess complex technical content at scale. The internship emphasizes building AI systems that support decision-making, qualitative judgment, and structured feedback in real-world engineering and research environments. You will work with unstructured and semi-structured documents, design multi-step reasoning pipelines, and evaluate system behavior against domain-specific expectations and constraints. Key Responsibilities Design and implement multi-step agentic workflows for analyzing and evaluating technical content. Develop RAG-based pipelines that combine internal documentation and reference materials with LLM reasoning. Build AI agents capable of: Comparing proposed ideas or approaches against known solutions or baselines Identifying conflicts, gaps, redundancies, or lack of novelty Producing structured assessments and constructive feedback Experiment with prompting strategies, planning, reflection, and tool usage to improve reasoning quality and consistency. Evaluate and iterate on system performance using qualitative and semi-quantitative metrics. Collaborate with engineers and researchers to translate ambiguous evaluation criteria into actionable AI workflows.

Similar remote jobs

Similar jobs in Austin, TX

Similar jobs in Texas