Lead Scientific Programmer

Datacor

• $110K — $130K *
US-AnywhereRemote in United States
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Masters or PhD in science or engineering, with a strong academic record.
  • Experience with applied math and numerical methods for scientific problems.
  • Background in earth sciences or civil engineering, especially with contaminant transport modeling.
  • Extensive C++ programming experience, particularly in scientific applications.
  • Record of designing and implementing practical numerical solutions for real-world issues.
  • Strong communication skills with a focus on effective writing and teamwork.
  • Familiarity with data science tools (e.g., MATLAB, R, Tableau) and AI/ML techniques is a plus.

Responsibilities

  • Engage in discussions and all phases of the application development lifecycle.
  • Drive the development of numerical solutions for GoldSim's simulation engine.
  • Enhance the numerical capabilities and propose new features based on customer needs.
  • Build and verify GoldSim models to showcase numerical capabilities and support QA.
  • Document theoretical and practical aspects of numerical methods for knowledge sharing.
  • Collaborate with engineering to integrate numerical enhancements into the platform.
  • Translate product requirements into actionable technical specifications.
  • Support customers with advanced modeling and numerical inquiries.

Benefits

  • Impact software used by engineers and scientists worldwide.
  • Engage in meaningful technical challenges with substantial autonomy.
  • Opportunity to influence the future of a well-regarded product.
  • Flexible office locations including Seattle, with hybrid work options.
Full Job Description
What you'll Do
  • Participate in design discussions and all aspects of the application development across the full development lifecycle, not just the mathematical layer.
  • 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.

Model Building & Verification
  • 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.

Documentation & Knowledge Transfer
  • 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.

Collaboration & Support
  • 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.

Growth & Modernization
  • 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
  • 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.

Why GoldSim

Join a team where your work directly shapes software that engineers and scientists rely on around the world. You'll take on meaningful technical challenges, enjoy real autonomy, and help define the future of a product with a global reputation for excellence. We have offices across the US where you have the opportunity to come in as you would like including one in Seattle.

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