Internship Opportunities at Huawei Italy Research Centers

Questa posizione è in Huawei Italia

Il processo di selezione sarà interamente gestito Huawei Italia.

Questa opportunità è disponibile in Vimodrone, Pisa.

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### Internship Opportunities at Huawei Italy Research Centers Are you passionate about cutting-edge research and technology? Do you have a strong desire to contribute to innovations that shape the future of hardware engineering, wireless communication, intelligent systems, and digital power? Join our dynamic teams at Huawei Italy Research Centers, where we are pioneering new technologies and solving complex challenges. We are currently offering exciting internship opportunities in five key areas: Central Hardware Engineering, Wireless Communications, Integrated Circuit, Intelligent Automotive Solution and Digital Power.

Internship Areas:

1. Central Hardware Engineering Team – Milan Research Center

We are looking for interns who will work on solving challenging physics-based optimization problems. You will have the opportunity to develop and implement advanced numerical algorithms and tools. Specific tasks include:

• Develop and implement advanced numerical algorithms and tools for solving complex physics-based optimization problems (electromagnetic knowledge not required);
• Explore innovative applications of artificial intelligence (AI) to enhance the computational efficiency of physics-based models and systems;
• Collaborate on cutting-edge research projects related to electromagnetic design and contribute to scientific advancements in the field.

2. Wireless Team – Milan Research Center

The Wireless Team internship will provide you with the opportunity to contribute to the optimization of 5G and Beyond radio networks. You will be involved in applying creative algorithmic solutions in several areas, including linear and non-linear optimization, predictive AI, online learning, Bayesian inference, and big data analysis. Specific tasks include:

• Propose creative algorithmic solutions in the fields of optimization, predictive AI, and machine learning;
• Contribute to the research and development of innovative communication paradigms for next-generation wireless technologies;
• Analyze and optimize large-scale data sets to drive advancements in 5G and Beyond network optimization.

3. Integrated Circuit Team – Milan Research Center

We are looking for interns to participate in solving challenging chip design problems. You will have the opportunity to develop and implement advanced RF chips. Specific tasks include:

• Developing and implementing technical research related to RF chips;
• Exploring innovative applications of artificial intelligence (AI) to improve chip design efficiency;
• Participating in cutting-edge research projects related to RF chips and contributing to applied research in this field.

4. Intelligent Automotive Solution Team – Pisa Research Center

We are looking for interns who will contribute to the development of advanced timing analysis tools and AI-driven optimization frameworks for embedded systems. You will have the opportunity to design, implement, and integrate innovative runtime monitoring and latency optimization mechanisms. Specific tasks include:

• Develop runtime adaptive configuration capabilities to provide optimal memory allocation monitoring depending on system load and usage, minimizing the impact on overall performance;
• Study optimized memory patterns to detect DDR memory faults while minimizing runtime impact;
• Develop a tool for tracing disk write patterns and monitoring key performance metrics;
• Integrate third-party tools to compute task and function execution times using QEMU simulation and provide full system scheduling simulation;
• Create AI agents and optimize Retrieval-Augmented Generation (RAG) databases to minimize latency and improve accuracy, leveraging LLM-assisted model；
• Development and AI agent performance enhancement;
• Research and design latency optimization methods for end devices. Review state-of-the-art papers, reproduce proof-of-concept (PoC) experiments, and evaluate potential latency improvements for LLM applications on edge devices.

5. Digital Power Team – Pisa Research Center

We are looking for interns who will work on enhancing Model-Based Design (MBD) tools with artificial intelligence (AI) technologies. You will have the opportunity to explore how large language models (LLMs) and natural language processing (NLP) can automate model generation and accelerate system design. Specific tasks include:

• Investigate the usage of large language models (LLMs) to automatically generate MBD diagrams from user requirements expressed in natural language;
• Develop and test iterative prompting and mixed-input approaches that combine AI-assisted diagram generation with manual model refinement;
• Implement NLP-based techniques to ensure model consistency, correctness, and semantic alignment with the original system requirements;
• Research and develop algorithms to improve model generation accuracy, reduce design errors, and enhance development efficiency;
• Explore multi-language query support and incremental design features to refine and extend diagrams through natural-language input;
• Contribute to proof-of-concept (PoC) research for AI-assisted model creation, testing, and validation workflows.

What We Offer:

• An opportunity to work in a leading global research centers with state-of-the-art facilities and expert teams;
• Hands-on experience in challenging and impactful research projects;
• Mentorship from experienced engineers and researchers in your field of interest;
• A collaborative, international, and innovative work environment.

Qualifications:

Education

• Currently enrolled in a Bachelor’s or Master’s program in Electrical Engineering, Computer Science, Automation, Telecommunications, Artificial Intelligence, Photonics, or a related technical field.

Academic Excellence

• Participation in mathematics, physics, computer science, or programming competitions (such as Mathematical Olympiads, Physics Olympiads, Olympiad in Informatics, ICPC/ITACPC, SWERC, etc.) is highly preferred.

Core Technical Skills

• Strong programming skills (e.g., Python, MATLAB, C/C++);
• Solid understanding of algorithms, optimization techniques, and/or AI/machine learning;
• Familiarity with software engineering tools (e.g., Git) and modeling approaches (e.g., UML or system modeling concepts).

Preferred Skills

(Applicable depending on team and project assignment)

• Experience with AI frameworks (e.g., TensorFlow, PyTorch, LangChain);
• Exposure to advanced AI topics such as LLMs, prompt engineering, RAG, or multi-agent systems;
• Knowledge of Model-Based Design (MBD), simulation, or model-driven engineering;
• Experience in optimization algorithms, numerical methods, or system modeling;
• Strong analytical and problem-solving abilities.

Core Competencies

• Excellent communication and teamwork skills;
• Strong analytical and problem-solving abilities;
• Self-motivated, proactive, and well-organized;
• Enthusiasm for working on complex, interdisciplinary research projects.

If you are eager to be part of a dynamic and forward-thinking team and contribute to innovative research in the field of wireless communications, hardware engineering, intelligent systems, and digital energy we would love to hear from you!

Privacy Statement:

We therefore commit to protecting your privacy following the local legal data privacy legislation. Please read and understand our [West European Recruitment Privacy Notice](https://career.huawei.com/reccampportal/portal/hrd/weurecall.html) before submitting your personal data to Huawei so that you fully understand how we process and manage your personal data received (http://career.huawei.com/reccampportal/portal/hrd/weurecall.html). If you have any queries in regards to Huawei WEU Data Privacy please feel free to contact our WEU Data Protection Officer by clicking [here](https://www.huawei.com/en/personal-data-request) (https://www.huawei.com/en/personal-data-request). We are an Equal Opportunity Employer and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or any other legally protected status. All qualified applicants will receive consideration for employment without regard to these characteristics. We are committed to creating an inclusive and diverse workplace.

Company Info:

Huawei Technologies Italia S.r.l. Registered Office: Via Lorenteggio 240, Tower A, Milan Milan Research Center Office address: Viale Martesana 12, 20055 Vimodrone (MI) Pisa Research Center Office address: Via Pietro Nenni 24, 56124 Pisa (PI)

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