9 дней назад
AI Verification Engineering Intern
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Verification Engineering Intern (AI/LLM/RAG): Developing AI-powered assistants, engineering agents, and automation tools for semiconductor verification with an accent on verification planning, coverage analysis, regression debugging, and knowledge search. Focus on integrating AI solutions with EDA environments, benchmarking emerging technologies, and transforming verification bottlenecks into intelligent workflows.
Location: Tianjin (Teda), China; onsite preferred approximately 4 days per week
Company
develops semiconductor technologies and engineering solutions for connected applications.
What you will do
- Develop AI-powered verification assistants and engineering agents.
- Build automation flows for semiconductor verification workflows.
- Apply RAG and AI agents to verification planning, testplan analysis, coverage gap identification, regression analysis, debugging, and knowledge search.
- Generate verification testbench files and integrate AI solutions with EDA tools and verification environments.
- Collaborate with verification engineers to identify productivity bottlenecks and convert them into AI-assisted workflows.
- Evaluate emerging AI technologies, benchmark their performance, and present results to project teams.
Requirements
- Current BS/MS student in Computer Science, Electrical Engineering, Computer Engineering, Artificial Intelligence, or a related field.
- Strong Python programming skills and experience with software development and debugging.
- Familiarity with machine learning, LLMs, or Generative AI technologies.
- Basic understanding of SoC design and verification, digital IC design, or semiconductor development processes.
- Strong problem-solving and communication skills, with the ability to work independently and collaboratively in a technical team environment.
- Ability to work onsite in Tianjin (Teda), approximately 4 days per week preferred.
Culture & Benefits
- Approximately two quarters of practical experience, with the possibility of extension based on project needs.
- Exposure to real-world AI applications in semiconductor development.
- Learning opportunities in advanced AI agent and LLM workflows, SoC verification methodologies, and EDA environments.
- Cross-functional collaboration with semiconductor engineering teams.
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