Senior Scientific Programmer

Datacor, Inc.

Creative problem-solver joining GoldSim development team at Datacor. Developing new modeling capabilities for high-performance simulation software.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in applied mathematics and numerical methods, particularly in C++ programming for scientific applications. Capable of translating complex technical concepts into practical solutions while effectively communicating with cross-functional teams.

Highest-signal resume keywords

C++ ProgrammingApplied MathematicsNumerical MethodsMachine Learning TechniquesContaminant Transport Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Numerical AlgorithmsMatrix AlgebraPartial Differential EquationsScientific ComputingAlgorithm DesignModel BuildingData Science ToolsWindows Desktop ApplicationsAI/ML TechniquesTechnical Documentation

Soft Skills

Effective CommunicationTeam CollaborationCuriosity for Computational Approaches

Tools & Technologies

MATLABRTableauGoldSimNumerical Libraries

Industry Keywords

Earth SciencesCivil EngineeringContaminant Transport ModelingScientific Applications

Tech Stack

Tools & technologies

Tableau

About the role

Key responsibilities & impact

Own the numerical solutions and mathematical/computer science algorithms underlying GoldSim's simulation engine - from the theoretical foundation (equations, algorithm design) through to implementation in our C++ codebase.
Push practical, real-world improvements to GoldSim's numerical capabilities, and propose new features driven by everyday or discipline-specific customer needs.
Participate in design discussions across the full development lifecycle, not just the mathematical layer.
Build GoldSim models that apply and exercise the platform's numerical capabilities - for QA and verification, as example models shipped with the product, and in direct support of customers.
Use hands-on model-building as a primary way to validate that new or improved algorithms behave correctly in practice.
Document both the theoretical basis (equations, algorithm descriptions) and the practical implementation of GoldSim's numerical methods, so this knowledge isn't concentrated in one person.
Partner with the founding engineer to formalize existing modeling, QA, and support methodology.
Work alongside the software engineering team to integrate new or improved numerical capabilities into the broader platform.
Translate business and product requirements into technical specifications.
Serve as a technical resource for customer support and QA on advanced modeling and numerical questions.
Communicate technical/mathematical concepts clearly to engineers, QA, and product stakeholders.
Bring curiosity for modern computational approaches - including applying machine learning to accelerate, approximate, or extend traditional numerical simulation methods.
Help identify opportunities to modernize GoldSim's existing algorithmic infrastructure.

Requirements

What you’ll need

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 a plus.

Benefits

Comp & perks

Join a team where your work directly shapes software that engineers and scientists rely on around the world.
Enjoy real autonomy and help define the future of a product with a global reputation for excellence.
Opportunities to work in person in our Seattle office as desired.