Internship - AI/ML Verification Framework for Mixed-Signal Systems

1 Month ago • All levels • Research Development

Job Summary

Job Description

This internship focuses on applying AI/ML in mixed-signal design verification to reduce manual effort and streamline verification. The intern will research AI/ML models and tools, design and implement a verification environment, develop a proof-of-concept for waveform debugging and anomaly detection, and present findings to the team. The role involves analyzing EDA simulation data, automating processes, integrating with EDA toolchains, and setting up a knowledge base. This work will lay the groundwork for scalable AI/ML integration into future verification flows.
Must have:
  • Master of Science in related fields.
  • Working knowledge of AI/ML concepts and applications.
  • Programming skills as Python, MATLAB, or similar.
Good to have:
  • Familiarity with mixed signal design and EDA tools.
Perks:
  • Opportunity to develop technical, soft skills, and communication skills.
  • Experience in a multinational and diverse environment.
  • Possibility to join NXP’s Young Professional Talent Pool.

Job Details

The future starts here! Ready to join NXP?

Your Team

Powering a smarter world is our mission, and we execute it by developing power conversion systems using state-of-the-art solutions and generating innovative concepts for better efficiency, lower cost, and smaller form factors. We are the market leader in resonant AC-DC converters (used in PC, game console, and TV set power supplies) and are expanding further into the automotive onboard charging and high-voltage DC-DC conversion space.

Context

As our systems grow in complexity—particularly with the integration of analog and digital components—simulation and verification become increasingly demanding. Traditional methods often struggle to handle the scale and intricacy of mixed signal designs, where large volumes of simulation data and cross-domain interactions make manual analysis and checker development both time-consuming and error-prone. This internship aims to address these challenges by applying AI/ML techniques with goal to reduce manual effort, streamline verification, and establish a scalable foundation for broader AI/ML adoption in future design and verification flows.

Your Responsibilities and Tasks

The objective of this internship is to explore the application of AI/ML in mixed signal design verification by first researching and defining a suitable framework by identifying the key components, models, and tools required to build an AI/ML-driven verification environment. Next phase of this internship will be to develop a proof-of-concept (PoC) specifically demonstrating  waveform debugging and anomaly detection. This work will lay the groundwork for scalable AI/ML integration into future verification flows.

Scope of Work:

  • Research & Tooling:
    Investigate AI/ML models and tools suitable for analyzing EDA simulation data.

  • Environment Design & Implementation:
    Define and build a workflow for an AI/ML-based verification environment, covering automation, data analysis, EDA toolchain integration, and knowledge base setup.

  • Proof-of-Concept (PoC):
    Develop and validate a PoC for waveform debugging and anomaly detection in mixed signal design using AI/ML. Deliver a working script/tool with documentation followed by a roadmap for broader application of the AI/ML environment.

  • Presentation & Knowledge Sharing:
    Prepare and deliver a presentation(with demo) to the wider team summarizing key findings, methodology, PoC results, and recommendations.

What’s in it for you

  • A great opportunity to develop your skills (technical, soft skills, communication, etc.)

  • Gaining experience in a multinational and diverse environment

  • Possibility to become part of NXP’s Young Professional Talent Pool

  • Working on real assignments which contribute to NXP’s objectives

Your Profile

  • Master of Science - last year of engineer school, computer science, data science and AI systems , electronic engineering, embedded systems or related fields.

  • Working knowledge with AI/ML concepts and applications.

  • Optional familiarity with mixed signal design, EDA tools, and basic

  • Programming skills as Python, MATLAB, or similar related to AI/ML

  • Creative mindset with strong mathematical foundation.

Duration 

This is a full-time internship (40 hours per week) with a duration of 6 months or longer. The assignment is also suitable as a thesis/graduation project. Please note that in order to be considered for an internship/working student assignment, you need to be registered as a student during the entire period.

Creating Secure Connections and Infrastructure for a Smarter World

NXP Semiconductors N.V. (NASDAQ: NXPI) makes products and environments safer, more sustainable, and more secure with innovative connectivity and edge processing solutions for a smarter world. We are in the business of better. Not just better technologies, but better innovations to improve society. As the world leader in secure connectivity and processing solutions for embedded applications, NXP is solving the world’s most complex technology challenges to accelerate business innovation, enhance how we work, and advance how we live. If you are as excited about this opportunity as we are, we kindly invite you to apply. After a screening based on your profile you can be expected to have a video interview with our Talent Acquisition Consultant followed by business.

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.


What’s Next?

If you’re excited about this opportunity, we kindly invite you to apply! If you have any questions, we are happy to answer them. Please contact, Chanchal Sharma, Talent Acquisition Specialist on chanchal.sharma_1@nxp.com

More information about NXP in the Netherlands...

#LI-0d06

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About The Company

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.comRead MoreCareer Development OpportunitiesBright 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.Read MoreCommitment At NXP.We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future.

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