Location: Pisa, Italy, on-site Contract: Permanent contract – via Randstad Italia SpA Salary: Approx. from €60,000 to €80.000 gross/year (commensurate with experience) Language requirement: Proficiency in
English
is essential ️
Knowledge of
Java
programming language is essential
The Company and Context Randstad Italia SpA Inhouse is seeking a System Engineer for Model-Based Development IDE on behalf of
Huawei Technologies Italia Srl
, a global leader in
telecommunications, enterprise solutions, and consumer electronics
. Huawei is a pioneer in the industry, committed to shaping the
future of digital ecosystems
through cloud computing, AI, and next-generation connectivity solutions. Huawei's Pisa Research Center plays a central role within the Group, focusing on researching new technologies and applications in the field of digital power and electric vehicles.
The Position: System Engineer for Model-Based Development IDE We are looking for an expert to expand the team dedicated to developing next-generation Model-Based Design (MBD) tools. In the role of System Engineer, you will be responsible for the design and development of tools for simulation, code generation, and optimization for the Center's areas of expertise. You will join a dynamic and highly collaborative team, made up of experts and PhDs, who are passionate about research projects and innovative solutions.
Key Responsibilities Actively contribute to the development of proprietary Model-Based Design tools, including: Code generation Optimization Simulation Integration with Artificial Intelligence (AI)
Minimum Requirements Education:
M.Sc in Engineering. PhD preferred. Experience:
At least 3-5 years of experience in object-oriented programming. Programming Language Skills: Java (excellent level) Python (good level) Model-Driven Engineering:
Experience and expertise in Model-Driven Engineering (MDE), including model-to-text, text-to-model, or model-to-model transformations. Artificial Intelligence (AI): Experience in building efficient AI infrastructures and improving the efficiency of AI models. Experience with AI frameworks (e.g., Tensorflow, CUDA, Pytorch, Mindspore), Large-Language Models (LLM), and integrating AI technologies into products. Testing:
Experience in defining and executing unit tests and test automation scripts. Soft Skills: Good autonomy and initiative. Flexibility to work in a multicultural environment.