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Lead Scientific Engineer\\Programmer

Job in Seattle, King County, Washington, 98127, USA
Listing for: Accounting Search
Full Time position
Listed on 2026-10-20
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR
Job Description & How to Apply Below

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  
  • 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

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