Internship / Thesis Student For Edge Ai Optimization Research & Engineering (f/m/d)
NXP USA INC.
Not specified; not specified; not specified
Full-time internship (36/40 hours per week)
Master's degree in computer science or related field
Experience with pytorch and tensorflow frameworks
Knowledge of quantization and pruning techniques
NXP USA INC. is seeking an internship or thesis student for a position focused on Edge AI optimization research and engineering. The role involves hands-on experience in model compression and inference optimizations within a collaborative and innovative environment
Job Summary
Join the Artificial Intelligence Competence Center at NXP to explore cutting-edge Edge AI and Efficient Generative Architectures.
You will design and implement model compression techniques such as quantization, sparsity, and knowledge distillation for Small Language Models.
This full-time internship requires a minimum duration of six months and offers hands-on experience optimizing AI workloads on embedded systems.
Matching Summary
Match Score: 85
NXP USA INC. is seeking an internship or thesis student for a position focused on Edge AI optimization research and engineering. The role involves hands-on experience in model compression and inference optimizations within a collaborative and innovative environment.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Master's degree in Computer Science or related field
Experience with PyTorch and TensorFlow frameworks
Knowledge of quantization and pruning techniques
Proficiency in Python programming
Understanding of LLM and VLM architectures
Nice-to-have
Familiarity with speculative decoding methods
Experience with edge deployment tools like TFLite
Curiosity about emerging Agentic AI technologies
Ability to communicate research outcomes scientifically
Basic knowledge of Linux and Git version control
Key Requirements
Currently pursuing a Master's degree
Registered as a student during the entire assignment period
Excellent English communication skills
Work Rights
Must be registered as a student during the entire period