Similar Jobs
Artificial Intelligence • Hardware • Internet of Things • Other • Energy
Intern will design, build, test, and improve generative AI and agentic solutions (RAG, embeddings, retrieval, agents). Tasks include document ingestion, embedding and indexing, model integration, prompt/agent development, evaluation, guardrails, monitoring, and collaboration with engineering and partner teams.
Top Skills:
APIsDatabasesJavaJavaScriptPython
Artificial Intelligence • Hardware • Internet of Things • Other • Energy
Support Customer Success as an internal project coordinator: maintain project and Jira task trackers, follow up with cross-functional owners, prepare dashboards and leadership reports, document procedures, and build lightweight AI-driven automations to streamline reporting and reduce administrative work.
Top Skills:
APIsAutomation ToolsConfluenceGenerative AiJIRAExcelPower BIPythonSmartsheetSQL
Cloud • Information Technology • Security • Software • Cybersecurity
12-week on-site internship supporting Professional Services Revenue organization by applying project management and AI/no-code tools to map, document, prioritize, and automate sales/RevOps processes. Responsibilities include project coordination, process playbooks, AI use-case research, tech-stack evaluation, prototyping with IT/engineering, and delivering measurable recommendations.
Top Skills:
Ai ToolsLucidchartMiroNo-Code Platforms
Job Summary & Responsibilities
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
Role Overview
In this role, you will contribute to research initiatives focused on generative and agentic AI systems, evaluating how these technologies can improve user experience and operational efficiency across Advantest platforms. You will work with structured workflows and multi-step AI systems to explore practical applications in engineering environments.
Key Responsibilities
- Experiment with LLM-based agent configurations on internal Advantest infrastructure
- Evaluate model performance using domain-specific documentation as contextual input for a variety of queries and tasks
- Design and analyze agentic workflows, including reflection, tool usage, and planning strategies
- Develop and iterate on multi-step AI pipelines for task execution and reasoning
Requirements:
- Currently enrolled in BS/MS Computer Science, EE or related program.
- Strong programming skills in Python
- Basic understanding of machine learning or large language models
- Ability to work independently and communicate technical ideas clearly
Additional Skills Preferred (but not required):
- Familiarity with agentic systems or orchestration frameworks (e.g., LangGraph)
- Experience working with multi-step workflows, pipelines, or backend systems
- Exposure to LLM prompting, evaluation, or experimentation
- Interest in applying AI systems to real-world engineering problem
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
