Lead Scientific EngineerProgrammer

engineeringjobs.net, Inc.; Seattle (WA); On-site; USD 120,000 - 165,000; Full time

Job summary

engineeringjobs.net, Inc. is seeking a highly qualified professional to advance numerical modeling capabilities and verification within a dynamic simulation framework.

The role emphasizes ownership of algorithms, model building, and cross-team collaboration to deliver robust, scalable solutions. The candidate should have an advanced degree in science or engineering, strong math and numerical methods background, and experience with C programming and data-science tools such as MATLAB, R, or

Qualifications

• Advanced degree in science or engineering with outstanding academic record.
• Broad experience with applied math and numerical methods for science/engineering problems.
• Experience with C programming in scientific/engineering contexts.
• Familiarity with MATLAB, R, Tableau or equivalent data-science tools.

Responsibilities

• Own numerical algorithm development and verification for modeling framework.
• Build and verify models and ensure reproducibility of results.
• Document methods and transfer knowledge to team members.
• Collaborate with software engineers to integrate new numerical capabilities.
• Identify opportunities to modernize algorithmic infrastructure and apply AI/ML as appropriate.

Skills

Applied math & numerical methods

C programming

Communication & teamwork

AI/ML in scientific software

Education

Masters or PhD in science or engineering

Earth sciences or civil engineering background

Tools

MATLAB

R

Tableau

Numerical libraries

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

• Masters or 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