AI Verification Engineering Intern

Responsibilities

• Develop AI-powered verification assistants and engineering agents.
• Build automation flows for verification.
• Apply RAG and AI agents to verification workflows.
• Develop tools for:
  • Verification planning and testplan analysis
  • Verification tb files generation
  • Coverage gap identification
  • Regression result analysis
  • Debug assistance
  • Verification knowledge search and summarization
• Integrate AI solutions with existing EDA tools and verification environments.
• Collaborate with verification engineers to understand productivity bottlenecks and transform them into AI-assisted workflows.
• Evaluate and benchmark emerging AI technologies for semiconductor engineering applications.
• Present development results and recommendations to project teams.

Qualifications Required

• BS/MS student in Computer Science, Electrical Engineering, Computer Engineering, Artificial Intelligence, or related fields.
• Strong programming skills in Python.
• Familiarity with machine learning, LLMs, or Generative AI technologies.
• Experience with software development and debugging.
• Strong problem-solving and communication skills.
• Ability to work independently and collaboratively in a technical team environment.
• Basic understanding of SoC design and verification, digital IC design, or semiconductor development processes.

What You Will Learn

• Real-world AI applications in semiconductor development.
• Advanced AI Agent and LLM workflows.
• SoC verification methodologies and EDA environments.
• Cross-functional collaboration with semiconductor engineering teams.

Duration

• Approximately 2 quarters (extendable based on project needs).

Working Model

• Onsite preferred (approximately 4 days per week).

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