Rejoindre BWI

Based in the heart of Europe’s aerospace valley, you will bridge the gap between raw satellite imagery and actionable hydrological intelligence. As a Senior Engineer, you won’t just write code; you will architect the pipelines that monitor global water quality, basin health, and resource availability. Your work directly empowers policymakers to make data-driven decisions in a rapidly changing climate.

Key Responsibilities

• Lead Algorithm Design: Prototype and deploy production-level CV and image processing models to extract hydrological features and biophysical parameters from multi-spectral and SAR data.
• Architect Scalable Pipelines: Build and optimize high-throughput EO data chains capable of processing large-scale datasets.
• Software Excellence: Write production-grade, well-documented, and testable Python code following industry best practices.
• Product Validation & Integrity: Lead the validation of EO-derived hydrological products against in-situ station data and gauge networks.
• Technical Leadership: Act as the bridge between Hydrological Science and Software Engineering, mentoring junior staff and setting CI/CD and testing standards.

Background & Experience

• Education: MSc or PhD in Remote Sensing, Signal Processing, Computer Science, or Physics.
• Industry Context: Deep familiarity with the Copernicus Ecosystem (Sentinel-1, 2, and 3).
• Soft Skills: You are a « translator » — able to explain complex radiometric calibration to a Hydrologist and API rate-limiting to a Stakeholder.
• Mindset: You are solution-oriented. You care more about the accuracy of the water-level measurement than the elegance of the math used to get there.

Technical Profile

• Software: Expert Python. Proficiency in the scientific stack (NumPy, Xarray, Dask) and production tools (Docker, Git, REST APIs).
• Geospatial: Deep experience with GDAL/OGR, Rasterio, Shapely, and PySTAC.
• Science: Mastery of Atmospheric Correction (specifically for inland waters), Radiometry, and Geometric correction.
• Cloud/ Big Data: Experience with distributed processing and OGC standards (WMS, WFS).

Soft Skills

• Analytical Thinking: A methodical approach to debugging complex image-processing issues.
• Effective Communication: Ability to translate complex technical concepts to non-specialist stakeholders and teammates.
• Autonomy: Proactive problem-solving skills with the ability to lead activities in a fast-paced environment.
• Collaboration: A team-oriented mindset, thriving in multidisciplinary environments (data scientists, GIS experts, hydrology, dev-ops).
• Solution-Oriented: Focused on delivering actionable data that solves real-world water scarcity or quality issues.

Bonus Points

• Direct experience with Satellite Altimetry (Sentinel-3, Jason, or the SWOT mission).
• Fluency in French (useful for the Toulouse ecosystem), though English is our working language.
• Contributions to open-source geospatial projects.

Key Responsibilities:

• Design, develop, and optimize mathematical and physical models for hydrological and environmental applications.
• Implement robust, scalable, and maintainable software solutions to support operational workflows.
• Collaborate with interdisciplinary teams of scientists, engineers, and domain experts to understand requirements and deliver high-impact solutions.
• Perform data analysis and visualization to validate models and interpret results.
• Stay up-to-date with the latest advancements in scientific computing, hydrology, and related fields to integrate cutting-edge techniques into projects.
• Document methodologies, code, and research findings comprehensively and transparently.

Qualifications:

Academic Background:

• Advanced degree (Master’s or Ph.D.) in Mathematics, Physics (Pure or Applied), Computer Science, or a closely related field.
• Strong foundation in numerical methods, differential equations, and computational modeling.

Technical Skills:

• Proficiency in OO Python.
• Experience with software engineering practices, including version control, code reviews, and testing frameworks.
• Familiarity with data analysis tools and libraries (e.g., NumPy, pandas, SciPy) and visualization frameworks (e.g., Matplotlib, Plotly).
• Knowledge of parallel computing and performance optimization is a plus.

Domain Expertise:

• Demonstrated ability to develop and implement mathematical models.
• Background or strong interest in hydrology, environmental science, or fluid dynamics.
• Background or strong interest in neural networks, machine learning, or artificial intelligence.

Soft Skills:

• Strong problem-solving skills and intellectual curiosity.
• Excellent written and verbal communication skills, with the ability to convey complex ideas to diverse audiences.
• Proven ability to work collaboratively in interdisciplinary teams and independently as needed.

Preferred Qualifications:

• Prior experience working in hydrology, water resources, or related scientific domains.
• Familiarity with geospatial data processing and analysis.
• Experience with cloud computing platforms or high-performance computing environments.

What We Offer:

• The opportunity to contribute to meaningful scientific advancements addressing global water challenges.
• A collaborative and intellectually stimulating work environment.
• Professional growth and learning opportunities at the intersection of science and software engineering.
• Competitive compensation and benefits package.

Hiring Process:

• Technical interview with our CTO (can be a visio)
• Technical interview with another team member, if need be (can be a visio)
• Motivational interview with our CEO (telephone or visio)
• Offer
• Deal

Applications will be reviewed on a rolling basis.

Join us in advancing the science of hydrology through innovative software and impactful work!