Lead Scientific Engineer\\Programmer

Horan Hiring Solutions, LLC; Seattle (WA); On-site; USD 120,000 - 190,000; Full time

Job summary

Horan Hiring Solutions, LLC is seeking a highly skilled numerical software scientist to join our dynamic team. The role focuses on owning numerical methods, building and verifying models, and collaborating across engineering disciplines to advance our simulation framework.

The ideal candidate has an advanced degree and strong C++ experience, with capability to apply AI/ML techniques to scientific software. Excellent communication and teamwork are essential.

Qualifications

• Masters or PhD in science or engineering with outstanding academic performance.
• Strong background in applied math and numerical methods.
• Background in earth sciences or civil engineering; contaminant transport preferred.
• Extensive C++ programming experience in scientific apps.
• Ability to design practical numerical solutions.
• Excellent written and verbal communication.
• Experience with MATLAB, R, or Tableau is a plus.
• Experience applying AI/ML to scientific software is a plus.

Responsibilities

• Collaborate with software engineers to integrate numerical capabilities.
• Partner with the founding engineer to formalize modeling QA and support methodology.
• Own numerical and algorithmic components of the framework.
• Build documentation and transfer knowledge across teams.
• Support collaboration with customers and stakeholders.

Skills

C++ programming

Numerical methods

Scientific computing

AI/ML experience

Communication skills

Windows desktop apps

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