Lead Scientific Engineer\\Programmer

Ashton North LLC

Seattle (WA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Ashton North LLC in Seattle seeks a highly qualified scientist/engineer to advance numerical methods within a leading modeling framework. The role focuses on numerical and algorithmic ownership, model building and verification, and thorough documentation and knowledge transfer.

You will collaborate with software engineers, apply ML to accelerate simulations, and help modernize algorithmic infrastructure, with emphasis on practical numerical solutions and clear communication.

Qualifications

  • Master's or PhD 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 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.

Responsibilities

  • Numerical & Algorithmic Ownership.
  • Model Building & Verification.
  • Documentation & Knowledge Transfer.
  • Collaboration & Support with software engineering to integrate new numerical capabilities.
  • Partner with the founding engineer to formalize existing modeling, QA, and support methodology.
  • Growth & Modernization; apply machine learning to accelerate or extend traditional numerical methods; identify opportunities to modernize existing infrastructure.

Skills

Numerical methods
C++ programming
Communication skills
Windows desktop apps

Education

Master's 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

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