Applied AI Engineer Intern (Silicon Engineering)

What you'll do

• Build AI prototypes and applications, including assistants and retrieval-based systems for silicon engineering.
• Integrate AI solutions with ASIC design, CAD, and engineering data flows; create dashboards, databases, and tools.
• Test, deploy, debug, and evaluate AI tools; document outcomes and communicate results.

What they ask for

• Currently pursuing a degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
• Coursework, research, or project experience in machine learning, deep learning, software development, or computer systems.
• Proficiency in Python and familiarity with data structures, algorithms, and software engineering principles.
• Strong analytical and problem-solving skills.

Nice to have

• Experience with LLMs, generative AI, agentic systems, retrieval-augmented generation, or vector databases.
• Familiarity with ASIC, VLSI, CAD, chip design, or hardware engineering concepts.

Pay

USD $35/hour to $55/hour (hourly rate); USD $500-per-week (housing/relocation stipend)

Tools

Python, large language models, agentic AI frameworks, ASIC, CAD, retrieval-augmented generation, vector databases

AI focus

Build and deploy AI assistants, retrieval-based systems, and other AI tools for silicon and ASIC engineering workflows.