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About the job

Fast Growing Leader in dynamic simulation software for water resources, environmental systems and complex engineering problems.

This position will have a direct impact in developing new modeling capabilities to enhance our state-of-the-art modeling and simulation framework.

Job Scope:

Numerical & Algorithmic Ownership

Model Building & Verification .

Documentation & Knowledge Transfer

Collaboration & Support

Work alongside the software engineering team to integrate new or improved numerical capabilities into the br

Partner with the founding engineer to formalize existing modeling, QA, and support methodology.

Growth & Modernization

Apply machine learning to accelerate, approximate, or extend traditional numerical simulation methods.

Help identify opportunities to modernize existing algorithmic infrastructure.

Requirements

Masters or PhD level in science or engineering, with outstanding academic performance.

Broad experience with applied math and numerical methods for solving science and engineering problems (e.g., matrix algebra, numerical methods for solving partial differential equations).

Earth sciences or civil engineering background, preferably including contaminant transport modeling.

Extensive C++ programming experience, ideally in scientific or engineering applications; familiarity with commercial or open-source numerical libraries and frameworks is a plus.

Proven ability to design and implement practical numerical solutions to real-world problems.

Good communications skills, must write effectively and enjoy interacting with other team members.

Experience developing and supporting Windows desktop applications is a plus, as is hands-on experience with data science tools such as MATLAB, R, or Tableau.

Experience applying AI/ML techniques (e.g., machine learning models, LLM-based tools, or AI-assisted development) to scientific or engineering software is