Master Thesis Internship – Intelligent Thread across Semiconductor Product Lifecycle

NXP Semiconductors; Eindhoven; On-site; EUR 12,000 - 17,000; Full time

Job summary

NXP Semiconductors in the Netherlands invites a Master Thesis student to join the Product Lifecycle Solutions team in Eindhoven. You will work on strengthening the Intelligent Thread as an engineering knowledge and learning system across the product lifecycle, collaborating with global IT professionals.

The role focuses on understanding knowledge flows, capturing rationale, and exploring AI-enabled solutions.

Qualifications

• Master Thesis student in one of the listed areas.
• Excellent English communication skills.
• Willingness to collaborate across cultures and functions.
• Interest in AI, knowledge graphs and ML.
• Interest in continuous knowledge capture and evolution.

Responsibilities

• Understand NXP's Digital/Intelligent Thread within the PLM context.
• Interview stakeholders and analyze processes and artifacts.
• Investigate knowledge capture, connection and gaps across the product lifecycle.
• Design or evaluate a concrete solution strengthening the Intelligent Thread.
• Explore AI techniques and knowledge graph concepts where relevant.

Skills

Open mindset

Analytical problem solving

Cross-cultural communication

English proficiency

Python

SPARQL

Education

Master's degree in Industrial Engineering and Innovation, AI/ML, Data Science, Computer Science, or Ops & Logistics

Tools

Python

SPARQL

Job description

Our Vision

The most powerful AI use cases need smart contexts, through an Intelligent Thread. A thread that connects knowledge and expertise, materialized in data, from various business functions and domains, across the full Product Lifecycle. From marketing and design, sales and operations, to delivery and service. From hundreds of ideas, thousands of designs, millions of recipes, to billions of devices. Produced in physical and digital factories. Used, out in the field, like in cars, drones, and robots. Today, knowledge and expertise across functions and domains is scattered, fragmented. Rather than viewing the Intelligent Thread as a mechanism for traceability, this project explores how it can become an active engineering knowledge and learning system. A continuously evolving foundation that provides domain specific contexts, enables deployment of AI agents, supports knowledge exchange, informed decision making, and organizational learning throughout the Product Lifecycle.

Our Team

You will join the Product Lifecycle Solutions team, an enthusiastic group of Business focused IT professionals, working from Eindhoven, Netherlands, and Bangalore, India. Operating in the global, highly competitive, highly dynamic Semiconductor industry. Stepping up to challenges in the Product Lifecycle space, enabling NXP success, at high speed. You will work from the High Tech Campus in Eindhoven. You will also be able to catch up with master thesis students in other areas, like Supply Chain and Quality.

Your Assignment

Phase 1

Phase 1 focuses on understanding NXP's current Digital/Intelligent Thread and identifying opportunities to strengthen it as an engineering knowledge and learning system. Through stakeholder interviews, process analysis, and exploration of the existing PLM ecosystem, the student will investigate:

• How engineering knowledge and expertise flows across the product lifecycle
• Which engineering artifacts, decisions, and rationale are connected, and where important knowledge gaps exist
• Challenges in (the speed of) knowledge exchange, change management, and cross-domain collaboration
• Opportunities to improve how engineering knowledge is captured, connected, maintained, and reused throughout the product lifecycle

Phase 2

Phase 2 focuses to investigate one selected challenge and to design, prototype, or evaluate a concrete solution that strengthens the Intelligent Thread, as an active engineering knowledge and learning system.

• Engineering knowledge representation and integration
• Continuous traceability and knowledge evolution
• Cross-domain change impact analysis
• Capturing and preserving engineering rationale
• Cross-domain engineering decision support
• Knowledge discovery and reuse across the product lifecycle
• Artificial Intelligence, including agentic AI, knowledge graphs, or other intelligent technologies may be explored, where appropriate as enabling technologies

Your Profile

Master Thesis student, preferable in one of the following areas: Industrial Engineering and Innovation, Artificial Intelligence and Machine Learning, Data Science or Computer Science, Operations and Logistics Management.

Including the following skills:

• Open, innovative and collaborative mindset
• Strong analytical and problem-solving skills
• Strong communication skills, navigating across cultures and functions
• Excellent in English language
• Python would be good to get, while SPARQL is a nice to have

Your Offering

Conducting your master thesis research, based on an internship contract. Interesting/challenging working environment, in a global operating company in a highly competitive high-tech industry with a wide variety of development and learning opportunities.

More information about NXP

More information about NXP in the Netherlands... #LI-3623 NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com 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

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.

Thank you

Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips.

Please note that NXP operates under a strict Preferred Supplier List (PSL) for all recruitment activities. Any candidate profiles or resume submitted without a prior written agreement or explicit request from our Talent Acquisition team will be considered unsolicited. Such submissions will be deemed free of any obligations, and no fees will be paid by NXP or any of its affiliates, subsidiaries, or divisions - regardless of whether the candidate is hired, either coincidentally or otherwise.

Thank you for your understanding.