Lead Scientific Engineer\\Programmer

True North Consultants, Inc.; Seattle (WA); On-site; USD 120,000 - 170,000; Full time

Job summary

True North Consultants, Inc. seeks a highly skilled researcher to advance numerical methods for environmental modeling and to own key algorithms.

You will work with the software team to integrate capabilities into our state-of-the-art simulation framework and to verify models across multiple projects. Growth-focused role involves applying AI/ML to accelerate traditional methods and modernizing infrastructure, while collaborating with engineers and stakeholders.

Qualifications

• Masters or PhD in science or engineering with outstanding academic performance.
• Broad experience with applied math and numerical methods for science/engineering problems (e.g., matrix algebra, PDE solvers).
• Earth sciences or civil engineering background, preferably including contaminant transport modeling.
• Extensive C++ programming in scientific/engineering apps; familiarity with numerical libraries/frameworks is a plus.
• Proven ability to design and implement practical numerical solutions to real-world problems.
• Good communication skills; ability to write clearly and collaborate with teammates.
• Experience with Windows desktop applications; hands-on data science tools (MATLAB, R, Tableau).

Responsibilities

• Collaborate with software engineering to integrate new numerical capabilities into the modeling framework.
• Partner with founding engineer to formalize modeling, QA, and support methodology.
• Apply machine learning to accelerate or extend traditional numerical methods.
• Identify opportunities to modernize algorithmic infrastructure and tooling.

Skills

Applied math

Numerical methods

Communication

Problem solving

Education

Masters or PhD in science or engineering

Tools

C++

MATLAB

Tableau

R

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