Lead Scientific Engineer\\Programmer

Joseph Michaels International; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Joseph Michaels International seeks a highly trained researcher/software engineer to advance numerical simulation for water resources and engineering problems. You will own numerical methods, model building, verification, and collaboration across teams.

The role emphasizes ML integration, modernization of algorithms, and clear documentation. A Masters or PhD in science/engineering with strong math and C++ experience is required; experience with MATLAB, R, or Tableau is a plus.

Qualifications

• Masters or PhD in science or engineering with outstanding academic performance.
• Strong background in applied mathematics and numerical methods for science/engineering.
• Earth sciences or civil engineering background, preferably with contaminant transport modeling.
• Extensive C++ programming experience with numerical libraries.
• Ability to design and implement practical numerical solutions to real-world problems.
• Good written and verbal communication; enjoy teamwork.
• Experience developing and supporting Windows desktop applications; exposure to MATLAB, R, or Tableau.

Responsibilities

• Collaborate with software engineering to integrate numerical capabilities into the modeling framework.
• Partner with senior engineers to formalize modeling QA and support methodology.
• Apply ML to accelerate or extend traditional numerical simulations.
• Identify opportunities to modernize algorithmic infrastructure.
• Document developments and transfer knowledge across the team.

Skills

Numerical methods

C++ programming

AI/ML experience

Data science tools

Windows desktop apps

Communication skills

Education

Masters or PhD in science or engineering

Tools

MATLAB

R

Tableau

Numerical libraries/frameworks

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