Lead Scientific Engineer\\Programmer

Professional Recruiting Consultants, Inc.; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Professional Recruiting Consultants, Inc. is seeking a highly skilled researcher to advance a dynamic simulation framework used in water resources and environmental systems.

The role focuses on numerical ownership, model building, verification, and collaboration with engineering teams. Ideal candidates have advanced degrees and strong programming in C++, with experience in numerical methods, ML, and data science tools such as MATLAB, R, or Tableau.

Qualifications

• Masters or PhD in science or engineering with outstanding academic performance.
• Broad experience with applied math and numerical methods for solving science and engineering problems.
• Experience with Windows desktop applications is a plus, and familiarity with data science tools like MATLAB, R, or Tableau is beneficial.

Responsibilities

• Work with software engineering to integrate numerical capabilities into the modeling framework.
• Collaborate with the founding engineer to formalize modeling, QA, and support methodology.
• Apply machine learning to accelerate or extend traditional numerical methods.
• Contribute to documentation and knowledge transfer within the team.

Skills

C++ programming

Numerical methods

Mathematics

Machine learning

Communication skills

Team collaboration

Education

Masters 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