Scientific Python Developer
6 skills required
Job Details
The project
We want to make the design of houses and their direct manufacturing accessible to everyone through an architectural design software, with an astonishing graphical visualization and very simple to use.
What we’re developing is the first BIM software able to realize real buildings! Brilliant inventions take shape from brilliant minds. We all believe our product is extraordinary so we’re looking for extraordinary people too.
Role and responsibilities
We are developing cloud-based structural analysis software in Python able to work in a distributed environment. The software will need to coordinate input and output from/to an external building design software and dispatch the messages to services.
Examples of services to be implemented are:
- A service dedicated to the creation of a structural mesh from the building design.
- A finite element method (FEM) service able to perform structural simulation interfacing an external FEM library written in C++.
- A service to perform structural verification applying country-specific rules coming from the building regulations.
- A service that optimizes structural elements reducing the final cost of the building.
You have a passion for numerical mathematics and its implementation, and love the challenges of creating complex software to resolve physical and engineering problems. Improving software performance is one of your key drivers.
Subject matter experts (SMEs) will provide technical requirements and test cases for different aspects of the structural analysis flow. You’ll be part of a team of brilliant people and, as a key team member, your primary responsibility is to interpret and implement these requirements, rigorously testing them against provided test cases. This collaborative approach involves regular interaction with product owners to align development efforts with company goals, following the established Agile/Scrum workflow.
Must have tech skills:
- Strong scientific background in numerical analysis and numerical methods;
- Python knowledge: Object Oriented Python, dataclasses, Functools, typing. Proficiency with the language;
- Software Engineering: knowledge of the software engineering principles and their applications.
- Knowledge of vectorization with NumPy: slicing, indexing, broadcasting, ND-tensor representation.
- Test Driven Development. Knowledge of PyTest.
Nice to have tech skills:
- Familiarity with optimization methods, machine learning, and integrating these techniques into the structural analysis software.
- Exposure to gRPC, including protobuf message description and service definition, and the implementation of client/server services using Protobuf in Python.
- Knowledge of CI/CD pipelines and Dockerization.
- Experience with PyBind11, creation of bindings from C/C++ to Python.
- Experience with distributed systems and deployment of cloud-based applications.
- Experience in server-side development to enhance software performance and scalability.
- Knowledge of modern C++.
PLACE OF WORK: MODENA
The research is addressed to both sexes (Legislative Decree No. 198/2006) and to people of all ages and all nationalities, pursuant to legislative decrees 215/03 and 216/03. Candidates interested and in possession of the requirements are invited to send their curriculum vitae, including the authorization to process personal data, pursuant to Legislative Decree 196/03 and to the art. 13 GDPR 679/16.
€30,000 - €46,000 a year
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