INTERNSHIP DETAILS
AI Verification Engineering Intern
CompanyNXP Semiconductors
LocationTianjin
Work ModeOn Site
PostedSeptember 23, 2026

Internship Information
Core Responsibilities
Develop AI-powered verification assistants and engineering agents to automate workflows and improve debugging efficiency. Collaborate with verification engineers to integrate AI solutions into existing EDA tools and semiconductor development environments.
Internship Type
part time
Company Size
22288
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We anticipate tomorrow’s needs—navigating a changing world by bringing together technology's brightest minds to build game-changing solutions that propel us forward.
NXP Semiconductors N.V. (NASDAQ: NXPI) is the trusted partner for innovative solutions in the automotive, industrial & IoT, mobile, and communications infrastructure markets. NXP's "Brighter Together" approach combines leading-edge technology with pioneering people to develop system solutions that make the connected world better, safer, and more secure. The company has operations in more than 30 countries and posted revenue of $12.61 billion in 2024. Find out more at www.nxp.com.
Career Development Opportunities : Bright Minds. Bright Futures.
We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.
Commitment At NXP.
We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality.
Privacy Policy: https://www.nxp.com/company/about-nxp/privacy-policy-for-social-media-pages:PRIVACY-POLICY-SOCIAL-MEDIA
About the Role
We are looking for a highly motivated AI Verification Engineering Intern to help develop AI-powered solutions for semiconductor verification productivity. You will work closely with verification engineers to build intelligent tools and agents that automate engineering workflows, improve debugging efficiency, and accelerate verification execution.
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).
Key Skills
PythonMachine LearningLLMsGenerative AISemiconductor VerificationSoC DesignDigital IC DesignRAGAI AgentsDebuggingAutomationEDA ToolsSoftware DevelopmentProblem-solvingCommunication
Categories
TechnologyEngineeringSoftwareData & AnalyticsManufacturing
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