Lead Scientific Engineer\\Programmer

Accounting Search; Seattle (WA); On-site; USD 120,000 - 190,000; Full time

Job summary

Accounting Search seeks a highly qualified researcher to own numerical methods, build advanced simulation models, and verify correctness within a leading water resources modeling framework. You will collaborate with software engineers and a founding engineer to formalize QA, transfer knowledge, and advance capabilities.

Responsibilities include integrating new numerical techniques, applying machine learning to accelerate simulations, and modernizing infrastructure while communicating results

Qualifications

• Masters or PhD in science or engineering with outstanding academics.
• Strong background in applied math and numerical methods.
• Earth sciences or civil engineering background with contaminant transport modeling preferred.
• Extensive C++ programming experience with numerical libraries is a plus.
• Ability to design and implement practical numerical solutions to real-world problems.
• Good communication, writing skills, and teamwork.
• Experience with data science tools such as MATLAB, R, or Tableau is a plus.

Responsibilities

• Collaborate with software engineering to integrate new numerical capabilities into the modeling framework.
• Work with the founding engineer to formalize modeling, QA, and support methodology.
• Build and verify numerical models and algorithms for water resources and environmental simulations.
• Document processes and transfer knowledge to the team.
• Explore machine learning to accelerate or extend traditional numerical methods.
• Identify opportunities to modernize the algorithmic infrastructure.

Skills

C++ programming

Numerical methods

Machine learning

Communication skills

Education

Master's or PhD in science or engineering

Tools

MATLAB

Tableau

R

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