Salary
≈ $15k – $30k per year (Estimated)
Location
In office (Tianjin)
Seniority
Intern
Employment
Internship
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 19, 2026. NXP Semiconductors scores B on the Alion truth index.
Overview
Company
Impact
Profile match
NXP Semiconductors is a Dutch chipmaker established in 2006 when Philips spun out its semiconductor division, and it concentrates on embedded processing rather than general purpose computing. Its largest market is automotive, where it supplies radar sensors, vehicle networking, battery management and the secure processors behind keyless entry and digital car keys, alongside industrial and internet of things microcontrollers, mobile secure elements and communications infrastructure silicon. Headquartered in Eindhoven and listed on Nasdaq, it is one of the leading suppliers of near field communication and automotive processing chips in the world.
Backed by Battery Ventures, Exfinity Venture Partners
The role involves leveraging the company's internal AI platform to build domain-specific assistants using technologies such as LLMs, RAG (Retrieval-Augmented Generation), and Knowledge Graphs. No prior STA experience is required, but an interest in applying AI to engineering problems is highly desirable.
Key Responsibilities
- Develop AI Agents using the company's internal AI platform.
- Build and maintain RAG/KAG-based knowledge systems.
- Explore the use of LLMs to assist engineering workflows, such as information retrieval, report analysis, and issue investigation.
- Work with STA and CAD engineers to understand requirements and identify automation opportunities.
- Evaluate and improve Agent performance through prompt engineering and knowledge optimization.
- Document solutions and share best practices with the team.
Required Qualifications
- Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, AI, or related fields.
- Basic knowledge of LLMs and AI Agent concepts.
- Programming experience in Python.
- Familiarity with RAG, vector databases, knowledge graphs, or related AI technologies.
- Strong problem-solving skills and willingness to learn new domains.
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