Internship / Thesis Student for Edge AI Optimization Research & Engineering (f/m/d)

What You'll Do

• Exploring, designing, and implementing model compression techniques (quantization, sparsity, knowledge distillation, etc.), inference optimizations (e.g., speculative decoding), and efficient generative architecture design.
• Documenting findings with clarity and supporting internal knowledge sharing.
• Working closely with team members to identify promising directions for future development.
• Communicating research outcomes through scientific publications and/or invention disclosures.
• Your Profile Currently pursuing a Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Great analytical and problem‑solving skills, with the ability to work both independently and collaboratively.
• Excellent English communication skills for interacting with a diverse, multinational team across multiple sites.
• Curious, open‑minded, and eager to explore new technologies while contributing to meaningful and impactful AI research.
• Preferred Skills Very good understanding of AI/ML concepts (including LLMs, VLMs, Agentic AI) and experience with frameworks such as PyTorch and TensorFlow.
• Familiarity with model compression techniques such as quantization, pruning, and knowledge distillation.
• Understanding of LLM inference optimization techniques including speculative decoding.
• Experience with Python and modern software development practices (modular design, testing).
• Basic knowledge of Linux and Git.
• Experience with edge AI deployment (e.g., TFLite, ONNX, ExecuTorch) is a plus.
• Duration This is a full-time internship (36/40 hours per week) with a duration of minimum six months or longer.
• Please, note that to be considered for an internship/working student assignment at NXP, you need to be registered as a student during the entire period of the assignment.
• We encourage applicants to upload their grade transcripts as part of their application.
• While optional, it helps us gain a clearer understanding of your academic background when reviewing your profile.
• More information about NXP in the Netherlands... #LI-f5d0