PhD Product Engineer in Data Science

Join our innovative Product Engineering team as we develop solutions that are shaping one of the major trends in the advancement of highly automated vehicles. NXP provides advanced sensor and processing technologies that power both the secure connected cars of today and the autonomous vehicles of the future. Our Product Line In-Vehicle Networking features CAN, LIN, FlexRay, and Ethernet technologies, facilitating communication across architectures designed for robust, secure, and highly connected autonomous vehicles.

Your Team

You will be part of our Product Development Team, Product Line In-Vehicle Networking, in Nijmegen, Netherlands, who is working rigorously to deliver the best products to market on time while ensuring our brand's reputation for leadership in total quality at optimal cost.

As a Product Engineering PhD, you are in a central position (a spider in the web) in the New IC Product Development. You get to work with all the disciplines needed to design an IC and several external teams to prepare it for mass production. There is a lot of room for new ideas and innovations, and you will be supported to have a continuous focus on development, coaching and creating a supportive environment from your team.

Your Responsibilities

• You design advanced Data Science and Machine Learning tools to provide high-quality solutions for the Product Engineering team.
• You use your AI expertise to automate tasks, such as creating documents based on technical data.
• You design and develop advanced chatbots to assist Product Engineers, utilising NLP and LLMs to deliver accurate, context-aware responses from NXP's internal IC product design databases.
• You build solutions using AI & machine learning based on semiconductor test and characterization data, helping to achieve product quality objectives of optimal zero-defect screening and by continually exploring improved screening techniques to keep pace with market demands.
• You work collaboratively within project teams, assist external stakeholders, and coordinate closely with the team lead to deliver results that are timely, high-quality, and cost-effective.
• You work closely with cross-functional team members and contribute to academic publications and internal innovation initiatives.

What's in it for you

• This position offers an excellent opportunity to enhance your technical expertise, soft skills, and communication abilities.
• You will gain valuable experience within a multinational and diverse environment.
• There is potential to join NXP's Young Professional Talent Pool.
• You will be engaged in meaningful assignments that directly support NXP's strategic objectives.

• MSc with coursework in Data Science, AI, Machine Learning, Electrical Engineering, Computer Science.
• Strong background in machine learning, deep learning, and NLP.
• Strong interest & Documented research work in the field of Applied Machine Learning.
• Experience with frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
• Proficiency in Python; familiarity with C++ or Java is a plus.
• Ability to parse and process heterogeneous data formats, ascii & binary standards (e.g.,HDF5, protobuf, VCD, , SDF, FSDB, DCF).
• Knowledgeable in advanced neural network architectures such as ResNet, YOLO, and Transformers.
• Proficient in utilizing cloud platforms such as AWS, Azure, and Google Cloud, along with their respective tools for infrastructure management and AI workload deployment.
• Eagerness to further automate PE activities
• Knowledge or coursework in VLSI Design, IC Design, Embedded Systems, Electrical/Electronics Circuits, Semiconductors, or Applied Physics is a plus

Duration

• This is a full-time (40-hour per week), 4-year position.
• To qualify for a PhD student assignment, you must remain registered as a student throughout the entire period.

NXP Semiconductors N.V. (NASDAQ: NXPI) delivers innovative connectivity and edge processing solutions designed to improve safety, sustainability, and security across products and environments for a smarter world. We are committed to advancing technology and fostering innovation that benefits society. As a global leader in secure connectivity and processing solutions for embedded applications, NXP addresses complex technological challenges to drive business innovation, enhance workplace efficiency, and improve quality of life. If this opportunity aligns with your career aspirations, we encourage you to submit your application. Following an initial profile screening, selected candidates will be invited to participate in a video interview with our Talent Acquisition Consultant, followed by further discussions with the business team. What Can You Expect? Development opportunities: 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 provide you with a mix of learning through on-the-job experiences, learning from industries bests, and learning through education to help you develop your core and professional skills. Our offices: The Netherlands is home to our global headquarters (Eindhoven) along with two additional sites (Nijmegen, Delft) and includes a diverse team of over 2000 employees with 51 different nationalities focused on R&D, manufacturing, product development, business operations, legal and sales. Hiring process: Applying only takes a minute! Fill in the online application and share your CV with us. After a positive screening based on your CV you will have an initial video conversation with our Talent Acquisition Consultant followed by several business interviews. Here are some useful tips to help you prepare. And more: Life at NXP is more than work alone. Join one of the many social activities that are organized by and for employees in the Netherlands, such as our Christmas parties and International Walking Day. We have a YOUNG community that organizes a mix of social and professional events for our young professionals and an active Women in NXP. We also take time to give back to our communities by engaging young girls to learn about Technology during Girls Day or participating in several volunteering activities.