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System engineer for model-based development ide (pisa)

Pisa
Randstad Italia
System Engineer
Pubblicato il 13 novembre
Descrizione

System Engineer for Model-Based Development IDE2 days ago Be among the first 25 applicants
Direct message the job poster from Randstad Italia
Salary: Approx.
from €60,000 to €80,000 gross/year (commensurate with experience)
The Company and Context
Randstad Italia SpA Inhouse is seeking anIT Specialiston behalf ofHuawei Technologies Italia Srl, a global leader intelecommunications, enterprise solutions, and consumer electronics.
Huawei is a pioneer in the industry, committed to shaping thefuture of digital ecosystemsthrough 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 ResponsibilitiesActively contribute to the development of proprietary Model-Based Design tools, including:
Optimization
Simulation
Integration with Artificial Intelligence (AI)
QualificationsEducation: M.Sc in Engineering.
PhD preferred.
Experience: At least 3-5 years of experience in object-oriented programming.
Programming Language Skills: 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.
Seniority levelAssociate
Employment typeFull-time
IndustriesTelecommunications
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