Lead Scientific Engineer: AI-Enhanced Simulation & Modeling

Top Echelon LLC; Seattle (WA); On-site; USD 90,000 - 130,000; Full time

Job summary

Top Echelon LLC is seeking a highly capable researcher to join our fast-growing simulation software team, focusing on water resources and environmental systems. You will own numerical algorithms, build models, verify results, and collaborate with software engineers to modernize the framework.

Ideal candidates hold a Masters or PhD in science or engineering, with strong math and C++ skills, experience in MATLAB/R/Tableau, and a track record of applying AI/ML to scientific software.

Qualifications

• Masters or PhD in science or engineering with strong academic record.
• Broad experience with applied math and numerical methods for science/engineering problems (e.g., matrix algebra, PDEs).
• Earth sciences or civil engineering background, preferably with contaminant transport modeling.
• Extensive C++ programming experience, familiar with numerical libraries/frameworks.
• Proven ability to design and implement practical numerical solutions to real-world problems.
• Good communication skills, ability to write clearly and collaborate with teammates.
• Experience with MATLAB, R, or Tableau; Windows desktop apps experience is a plus.
• Experience applying AI/ML techniques to scientific or engineering software is a plus.

Responsibilities

• Own numerical algorithms and development within the modeling framework.
• Build and verify models and simulations with QA in mind.
• Document processes and transfer knowledge to the team.
• Collaborate with software engineers to integrate new numerical capabilities.
• Apply machine learning to accelerate and extend traditional methods.

Skills

C++ programming

Applied math

Numerical methods

Communication

Education

Masters or PhD in science or engineering

Tools

MATLAB

R

Tableau

Windows desktop apps

Job description

Top Echelon LLC is seeking a highly capable researcher to join our fast-growing simulation software team, focusing on water resources and environmental systems. You will own numerical algorithms, build models, verify results, and collaborate with software engineers to modernize the framework.

Ideal candidates hold a Masters or PhD in science or engineering, with strong math and C++ skills, experience in MATLAB/R/Tableau, and a track record of applying AI/ML to scientific software.