Intern - Computer Engineer, AI/LLM
About The Position
Innovate to develop tools, flows, and methodologies that increase efficiency and reliability of memory designs. Apply AI/ML techniques to improve EDA automation, predictive analytics, and design optimization. Explore LLM‑based agentic workflows for intelligent tool orchestration, documentation generation, and design assistance. Design and develop CAD software and AI‑enabled automation flows; assess architecture and hardware limitations for ML integration. Provide training, documentation, and support to end‑users on new tools and methods. Collaborate closely with build and process teams to integrate technology-based solutions into production flows.
Requirements
- Bachelor's degree (Graduation date should not be prior to September 1, 2026) or equivalent experience in Computer Engineering or Computer Science with circuits/VLSI coursework, or other degrees with relevant proven experience.
- Excellent programming fundamentals; in‑depth Python experience preferred.
- Strong interest or experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and LLM‑based applications (e.g., Claude Code, ChromaDB, MCP development).
- Experience with Unix/Linux and shell scripting.
- Good communication and problem‑solving skills.
Nice To Haves
- Familiarity with SKILL, C, C++, Java, Perl, or Lisp.
- Knowledge of data engineering and model deployment (pipelines, inferencing, observability).
- Experience defining and implementing agentic systems that harness LLMs for intelligent design assistance.
- Exposure to semiconductor EDA environments and design flows.
Responsibilities
- Develop tools, flows, and methodologies that increase efficiency and reliability of memory designs.
- Apply AI/ML techniques to improve EDA automation, predictive analytics, and design optimization.
- Explore LLM‑based agentic workflows for intelligent tool orchestration, documentation generation, and design assistance.
- Design and develop CAD software and AI‑enabled automation flows
- Assess architecture and hardware limitations for ML integration.
- Provide training, documentation, and support to end‑users on new tools and methods.
- Collaborate closely with build and process teams to integrate technology-based solutions into production flows.
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
