Lead Scientific Engineer\\Programmer

Eden Capital Careers; Seattle (WA); On-site; USD 120,000 - 190,000; Full time

Job summary

Eden Capital Careers seeks a highly qualified scientist/engineer to advance numerical modeling capabilities within a dynamic simulation software company. You will own numerical methods, build and verify models, and contribute to documentation and knowledge transfer.

The role emphasizes collaboration with the engineering team, applying AI/ML to accelerate simulations, and modernizing numerical infrastructure while solving real-world water resources and engineering challenges.

Qualifications

• Master's or PhD in science or engineering with strong academic record.
• Broad experience in applied math and numerical methods.
• Earth sciences or civil engineering background preferred.
• Extensive C++ programming in scientific/engineering apps.
• Experience with Windows desktop applications and data tools (MATLAB, R, Tableau).
• Ability to design practical numerical solutions and document them clearly.
• Strong written and verbal communication with team collaboration.
• Experience applying AI/ML to scientific software is a plus.

Responsibilities

• Own numerical and algorithmic development for modeling framework.
• Build and verify models; ensure accuracy and reliability.
• Collaborate with software engineers to integrate capabilities.
• Document knowledge transfer and provide support to the team.

Skills

Applied mathematics

Numerical methods

C++ programming

Scientific computing

Communication skills

AI/ML familiarity

Education

Master's or PhD in science/engineering

Tools

MATLAB

R

Tableau

Windows development

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