Scientific Software Developer

D-ICE Engineering is a deep-tech company founded in 2015 in Nantes. Our mission is to address three major challenges in the maritime sector: reducing the carbon footprint, enhancing safety at sea, and promoting clean energy production. To achieve this, we rely on a diverse range of expertise, including multiphysics simulation, scientific software development, marine engineering, and advanced navigation systems.

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Today, the company has approximately 40 engineers and PhDs specializing in hydrodynamics, applied mathematics, robotics, control systems, and software engineering.

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In 2024, D-ICE successfully raised €6 million in funding, marking a significant milestone in accelerating the commercialization of high-impact solutions for the maritime industry, thereby contributing to a more sustainable and decarbonized future.

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We are looking for a Scientific Software Developer to join our R&D team, which designs innovative technological components to support the decarbonization and safety of offshore operations.

A key part of this mission is the development of scientific computation cores dedicated to vessel routing, and more broadly to the multi-objective optimization of maritime operations.

You will work at the heart of our algorithmic engines, in close collaboration with domain experts, system engineers, and product teams.

Your responsibilities:

• Design, develop, and optimize mathematical and physical models integrated into our products (routing, prediction, simulation, optimization)
• Build high-performance, maintainable computation cores in C++/Python and ensure their integration into operational tools
• Develop robust algorithms suitable for deployment in cloud environments or under real-time (or near real-time) constraints
• Collaborate with product teams to define use cases and translate them into functional requirements
• Participate in numerical validation, model calibration, and testing against real-world data

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Technical skills:

• Strong proficiency in C++ and Python, with solid development practices in scientific computing
• Background in mathematical modeling, physics-based simulation (hydrodynamics, mechanics, energy systems), and/or routing and optimization algorithms
• Familiarity with numerical methods (PDEs, optimization, solvers, multi-criteria decision algorithms)
• Sensitivity to performance, robustness, and clarity in algorithm design
• Experience with model integration into larger software systems is a plus

Profile:

• Degree in applied mathematics, computational physics, fluid mechanics, or similar
• 3 to 10 years of experience in developing scientific models or simulation tools
• Comfortable reading and writing technical documentation in English

Soft skills:

• Analytical, rigorous, and autonomous
• Collaborative mindset and ability to work within interdisciplinary teams
• Strong interest in maritime systems, operational optimization, and climate & energy transition

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