Lead Scientific Programmer

This is a fully remote position, open to applicants in United States.

📋 Description

• Engage in design discussions and contribute to all facets of application development throughout the entire development lifecycle.

• Take ownership of the numerical solutions and mathematical/computer science algorithms that underpin GoldSim’s simulation engine, from theoretical concepts to C++ implementation.

• Enhance GoldSim’s numerical capabilities and suggest new features based on customer requirements.

• Develop GoldSim models for quality assurance, verification, product demonstrations, and customer support.

• Utilize hands-on model-building to validate newly developed or enhanced algorithms.

• Document the theoretical underpinnings and practical execution of GoldSim’s numerical methods.

• Collaborate with the founding engineer to establish formal modeling, quality assurance, and support methodologies.

• Work alongside the software engineering team to incorporate numerical capabilities into the larger platform.

• Convert business and product needs into technical specifications.

• Act as a technical resource for customer support and quality assurance on complex modeling and numerical inquiries.

• Effectively communicate technical and mathematical concepts to engineers, quality assurance, and product stakeholders.

• Employ modern computational techniques, including machine learning, to enhance, approximate, or extend conventional numerical simulation methods.

• Discover opportunities for modernizing GoldSim’s algorithmic infrastructure.

⛳️ Requirements

• Master’s or PhD degree in science or engineering, demonstrating exceptional academic performance.

• Extensive experience with applied mathematics and numerical methods for resolving scientific and engineering challenges, including matrix algebra and numerical methods for partial differential equations.

• Background in earth sciences or civil engineering, preferably with experience in contaminant transport modeling.

• Significant C++ programming experience, ideally in the context of scientific or engineering applications.

• Proven track record of designing and implementing practical numerical solutions for real-world issues.

• Strong communication skills; must be proficient in writing and enjoy engaging with team members.

• Familiarity with commercial or open-source numerical libraries and frameworks is advantageous.

• Experience in developing and supporting Windows desktop applications is a plus.

• Practical experience with data science tools such as MATLAB, R, or Tableau is beneficial.

• Experience in applying AI/ML techniques to scientific or engineering software is a plus.

🏝️ Benefits

• Opportunity to work on software utilized by engineers and scientists globally.

• Engaging technical challenges.

• Genuine autonomy in your work.

• Chance to influence the future of a globally respected product.

• Flexible work arrangements from Datacor’s US offices, including Seattle, as desired.