Engineering Intern - Semi-automatic generation of models, stimuli and testbenches using AI agents

Job Title

Engineering Intern - Semi-automatic generation of models, stimuli and testbenches using AI agents

Role Summary

This internship sits in an R&D verification team working on mixed-signal simulation (analog + digital). The intern will research, prototype and evaluate a semi-automated approach to migrate legacy behavioral models to newer technology nodes while producing associated stimuli and testbenches.

The work focuses on creating AI-based agents that assist model analysis, transformation, code generation and verification within existing simulation flows.

Experience Level

Internship / Entry-level. Position intended for current students (engineering school or university) - no specific years of professional experience required.

Responsibilities

Provide technical contributions to a prototype workflow and evaluate its effectiveness using measurable criteria.

• Analyze existing behavioral models to identify structure, parameters, interfaces and dependencies.
• Define a semi-automated migration methodology separating generic transformations from project-specific adaptations.
• Design and implement one or more AI agents to assist model analysis, code generation and parameter recommendation.
• Automatically or semi-automatically generate representative stimuli for verification of migrated models.
• Develop testbenches to compare expected behavior, detect regressions and validate consistency of generated models.
• Define and collect evaluation metrics: automation rate, generated code quality, test coverage, time savings and robustness.
• Document the solution, limitations, best practices and paths for industrialization within the verification flow.

Requirements

Key technical skills and personal attributes required for the internship.

• Must-have: Strong programming skills (ideally Python) and interest in automating technical flows.
• Must-have: Basic knowledge of analog and/or digital electronics and ability to read behavioral models and simulation results.
• Must-have: Good technical English for reading specifications and documenting results.
• Nice-to-have: Familiarity with hardware description or modeling languages such as Verilog, SystemVerilog, VHDL, Verilog-AMS or equivalent.
• Nice-to-have: Interest or experience with verification methodologies, stimulus generation, testbenches and assertions.
• Nice-to-have: Curiosity about generative AI, AI agents and automated code-generation/evaluation techniques.
• Personal traits: rigor, autonomy, analytical mindset and the ability to formalize reusable methodologies.

Education Requirements

Currently pursuing a degree at a university or engineering school in Electronics, Microelectronics, Industrial Computing, Applied Artificial Intelligence or a related technical field (engineering degree/Bachelor/Master or equivalent). Equivalent practical experience or related studies are acceptable.

About the Company

Company: NXP Semiconductors

Headquarters: Nijmegen, Netherlands

NXP Semiconductors N.V. is a global semiconductor company that provides High Performance Mixed Signal and Standard Product solutions. With over 45,000 employees and operations in more than 35 countries, NXP is a leader in secure connectivity solutions for embedded applications, catering to automotive, industrial IoT, mobile, and communication infrastructure markets. The company is committed to innovation and sustainability, advancing a smarter, safer, and more sustainable world through technology.