Scientific Software Engineer

Leonardo is a global industrial group, among the main global players in Aerospace, Defence and Security that realises multi-domain technological capabilities in Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security and Space. With over 60,000 employees worldwide, the company has a solid industrial presence in Italy, the UK, Poland and the US. It also operates in 150 countries through subsidiaries, joint ventures and investments. A key player in major international strategic programmes, it is a technological and industrial partner of governments, defence administrations, institutions and companies. In 2024, Leonardo recorded consolidated revenues of € 17.8 bn, new orders for € 20.9 bn and invested € 2.5 bn in R&D. Innovation, continuous research, digital industry and sustainability are the pillars of its business worldwide.

The successful candidate will be responsible to industrialize computation code (e.g. an aeroelastic) originally developed in a prototype environment, transforming it into a reliable, maintainable, and scalable software solution suitable for industrial use and to support the analysis and development of the configuration and customization of Simulation & Process Data Management tools

.The role ensures code quality, performance optimization, automation, and traceability throughout the development lifecycle

.

Qualification

• s:

Master's degree in Engineering (Aerospace, Computer) or Physical Scien

ce.

Senior

ity:

Expert ( 3 – 5 of experie

nce).

Desired technical Skills and know

• ledge:

Programming languages: Python, C/C++, C#, F
- ortran;Tools & environments: Git, CMake, Jenkins/GitLab CI, Docker,
- Linux;Numerical and scientific computing: numerical methods, FEM/FVM simulation, scientific compu
- tation;Performance optimization & parallel computing: OpenMP, MPI, CUDA, or O
- penACC;Software engineering practices: modular design, testing, code review, documen
- tation;HPC environments: experience with job schedulers (Torque, PBS, etc.) and distributed com
- puting;Analyze the existing engineering code (e.g., Python, Fortran, C/C++, MATLAB) and understand the underlying physical or mathematical
- models;Refactor the code to improve readability, modularity, and computational perfo
- rmance;Implement automated testing (unit, integration, regression) and CI/CD pip
- elines;Optimize code performance (profiling, vectorization, parallelization, use of GPUs or HPC clu
- sters);Prepare technical and user documentation (manuals, API docs, tuto
- rials);Manage version control (Git, GitLab/G
- itHub);Integrate the software into industrial workflows (automation pipelines, containerization with Docker/Singul
- arity);Collaborate with R&D and engineering teams to ensure alignment between physical models and industrial implemen
- tation;Ensure software quality and verification/validation in compliance with relevant standards (ISO, ASME V&V,

etc.).

Nice

• to have:

Experience in code verification and validation (
- V&V);Knowledge of software quality standards (ISO 9001, DO-178C, ECS
- S, etc.);Familiarity with scientific libraries (PETSc, Intel MKL, FEAST, NumP
- y/SciPy);Experience developing user interfaces (Qt, web apps) or automat
- ion APIs;Experience in Hexagon Si
- mmanager;Experience in Ansys Materia
- l Center;Experience in Altair Weight
A

nalytics.

Langua

ge Skills:

Advanced English profici

ency ( C1).

• Soft Skills:

Ability to work across multidisciplinary teams (R&D, IT,
- production).Analytical mindset and strong attentio
- n to quality.Comfortable working with legacy code and limited d
- ocumentation.Problem-solving attitude

and autonomy.