Lead Scientific Engineer\\Programmer

United Future; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

United Future is advancing its simulation software for water resources and environmental systems. This role directly impacts new modeling capabilities within our cutting-edge framework.

You will own numerical methods, build and verify models, and document processes while collaborating with engineering and research teams. Experience applying AI/ML to scientific software is highly valued.

Qualifications

• Master's or PhD in science or engineering with outstanding academic performance.
• Broad experience with applied math and numerical methods for solving science and engineering problems.
• Earth sciences or civil engineering background, preferably including contaminant transport modeling.
• Extensive C++ programming experience; familiarity with numerical libraries is a plus.
• Proven ability to design and implement practical numerical solutions to real-world problems.
• Good communications skills; must write effectively and enjoy teamwork.
• Experience developing Windows desktop applications; data science tools such as MATLAB, R, or Tableau.

Responsibilities

• Own numerical and algorithmic development for modeling and simulation components.
• Build and verify models within the state-of-the-art modeling framework.
• Document methodologies and transfer knowledge across the team.
• Collaborate with software engineering and support teams to align on implementation.
• Apply machine learning to accelerate or extend traditional numerical methods.

Skills

C++ programming

Applied math

Numerical analysis

Communication skills

Education

Master's or PhD in science or engineering

Tools

MATLAB

R

Tableau

Job description

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

• Mastersor 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