Scientific Programmer

About Us:

Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.

We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.

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.