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 

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

• 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.