Fire Modelling Software Developer

🔥 18 hours ago

🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Technosylva

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1997

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

<Technosylva> is a provider of AI-driven wildfire and extreme weather risk mitigation software that delivers real-time forecasting, predictive simulations, and incident management tools for electric utilities, fire agencies, and insurers. Their cloud-based products (Wildfire Analyst, Tactical Analyst, fiResponse) offer situational awareness, operational decision support, and risk quantification to help customers plan, operate, and respond to wildfire and severe weather events.

📋 Description

• Develop and maintain software for wildfire and fire behaviour modelling • Implement and test algorithms • Work with scientific and numerical data and analyse modelling results • Develop scripts and tools to automate simulations, testing, data processing, and analysis • Participate in software testing, debugging, validation, and performance analysis

🎯 Requirements

• Degree or background in Physics, Mathematics, Applied Mathematics, Engineering, a related quantitative field, or Computer Science • Good knowledge of Python and C# • Basic knowledge of C++ and willingness to learn • Strong logical and analytical thinking • Ability to understand mathematical and scientific concepts and apply them to software • Basic knowledge of Linux command line • Ability and willingness to use AI coding tools • Ability to learn and work with an existing codebase • Experience with Git and software testing • Interest in scientific modelling and simulation methods • Basic experience using supercomputers / HPC environments • Basic knowledge of Scrum / Agile • Experience with scientific computing, numerical modelling, simulations, or data analysis • Knowledge of wildfire or fire behaviour modelling

🏖️ Benefits

• Private health insurance • Flexible benefits plan • Annual bonus based on individual performance and company results • Flexible working hours • Remote work options