Lead Scientific Engineer\\Programmer

Zaddy Solutions; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Zaddy Solutions in Seattle is seeking a PhD-level scientist to own numerical and algorithmic development for advancing our water resources and engineering simulation framework. You will build and verify models, document knowledge and help transfer expertise across teams.

Responsibilities include collaborating with software engineers to integrate new capabilities, formalizing QA, and driving modernization efforts. Strong math, C++, and experience with AI/ML in scientific software are essential.

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, PDEs).
• Earth sciences or civil engineering background, preferably including contaminant transport modeling.
• Extensive C++ programming experience in scientific/engineering apps; familiarity with numerical libraries is a plus.
• Proven ability to design and implement practical numerical solutions.
• Good communications skills; write effectively and enjoy collaborating with team members.

Responsibilities

• Own numerical and algorithmic development for modeling capabilities.
• Model building and verification.
• Documentation and knowledge transfer.
• Collaborate with software engineering to integrate new numerical capabilities into the framework.
• Partner with the founding engineer to formalize modeling QA and support methodology.
• Growth and modernization: apply AI/ML to accelerate, approximate or extend traditional numerical methods; identify opportunities to modernize infrastructure.

Skills

Applied math

Numerical methods

C++ programming

Windows desktop apps

Data science tools

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