Back to Jobs
Datacor
Engineering & Architecture 2d ago

Lead Scientific Programmer / Software Engineer (C++ & Numerical Methods) - GoldSim, a Datacor Company

Datacor
United StatesUnited States
Full-time
Not Disclosed
Senior-Level

Job Description

Key Skills Required

Master these to land this role

Machine Learning41mFree Trial ✨
Start 10-Day Free Trial
Scientific ProgrammingC++Numerical MethodsSimulation Software

Want to know if you're a match for this job?

Calculate My Match Score

GoldSim, a Datacor company, is a world leader in dynamic simulation software for water resources, environmental systems, and complex engineering problems. Our customers use GoldSim to model some of the most challenging questions in engineering and science, from managing critical water supplies to assessing the long-term safety of environmental systems.

We are looking for a creative problem-solver to join our development team. This is a senior position where you will have a direct impact as we develop new modeling capabilities to enhance GoldSim, our state-of-the-art modeling and simulation framework. This is a hybrid role between Lead Scientific Programmer / Software Engineer.

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

  • A 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.

How would you rate this job post?

See what other professionals think about this role.

banner

Datacor is a premier, enterprise-grade business management platform engineered to orchestrate massive-scale chemical ecosystems and intelligent frictionless manufacturing workflows. Operating as a highly integrated hub for the process industry, the company eliminates the operational friction of traditional fragmented systems by seamlessly deploying advanced industry-specific telemetry, rigorous formulation management architectures, and cohesive regulatory compliance frameworks (covering OSHA, EPA, and GHS). Moving beyond rigid legacy generic ERP models, Datacor empowers chemical distributors, process manufacturers, and engineering firms to dynamically synchronize their supply chain pipelines with elite data-driven execution. Under the hood, their sophisticated proprietary data infrastructure—built on over 40 years of domain expertise—natively handles complex lot-genealogy ingestion, instantaneous real-time cost-routing, and seamless "cradle-to-grave" traceability integration, ensuring frictionless audit readiness and uncompromising operational visibility for 60% of North America's top chemical distributors. What sets Datacor apart is its uncompromising dedication to frictionless operational orchestration; by bridging the gap between rigorous chemical safety standards and accessible modern cloud innovation, the platform empowers organizations to radically accelerate their production velocity, optimize margin economics, and build an unassailable foundation for continuous commercial dominance in the modern global process landscape.

Safety First

  • Never pay for a job application.
  • Do not share sensitive bank info.
  • Verify the client before starting work.
Learn More