Lead Scientific Engineer\\Programmer

Calqulate Metrics Ltd; Seattle (WA); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Calqulate Metrics Ltd in Seattle seeks a researcher to advance numerical modeling for water resources and environmental systems. You will own numerical algorithms, build and verify models, and apply ML to accelerate simulations. Collaboration with engineers and clear documentation is essential; strong C++ skills and experience with scientific libraries are required.

Join a fast-growing team delivering state-of-the-art simulation frameworks and modernizing numerical infrastructure.

Formación

• Masters or PhD in science or engineering with outstanding academic performance.
• Broad experience with applied math and numerical methods for solving science and engineering problems.
• Earth sciences or civil engineering background, preferably including contaminant transport modeling.
• Extensive C++ programming experience in scientific or engineering applications; familiarity with numerical libraries 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; hands-on experience with MATLAB, R, or Tableau.

Responsabilidades

• Own numerical and algorithmic development for the simulation framework.
• Build and verify models and numerical methods.
• Document work and transfer knowledge to the team.
• Collaborate with software engineers and support ongoing development.
• Apply ML techniques to accelerate or extend traditional numerical methods and modernize infrastructure.

Conocimientos

C++ programming

Numerical methods

Mathematical modeling

Windows desktop apps

Data science tools

ML in engineering

Communication

Team collaboration

Educación

Masters or PhD in science/engineering

Herramientas

MATLAB

R

Tableau

Descripción del empleo

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