High-Performance Computing Software Engineer for Porous Media Simulations

• Design, implement, maintain, and test software modules for multiphase flow and transport simulation in porous media.
• Conduct bug verification, release testing, and beta support for assigned products.
• Optimize and scale simulation code using parallel programming frameworks (MPI, CUDA).
• Integrate and maintain core simulation backend modules with user-facing GUIs.
• Collaborate with domain scientists and engineers to design software architecture and drive agile development cycles.

Join the dynamic, growing team at Digital Pore Solutions (https://digitalpore.com/). We are seeking passionate software engineers with a foundational understanding of software engineering, particularly in high-performance computing. This role puts you at the crossroads of advanced software development and state-of-the-art multiphase flow simulation for Digital Rock Technology (DRT) in a fast-paced, innovative environment., * BSc, MSc, or PhD degrees in Engineering, Computer Science, or a related field with a focus on computational flow modeling, such as multiphase flow CFD simulations and reservoir-scale flow simulations.

• Proficiency in object-oriented programming and data-oriented design.
• Strong development experience in modern C++23 and Python.
• Demonstrated expertise in high-performance computing (HPC).
• Familiarity with containerization (e.g., Docker, Singularity).
• Experience with modern CI/CD practices (e.g., GitHub Actions or GitLab CI).

The Ideal Candidate Would Have

• A background in CFD in porous media.
• Experience with pore-scale or reservoir-scale flow simulator development, customization, or automation of simulation workflows is highly desirable.
• An understanding of computational graph theory and network analysis.
• Programming experience in Python, C/C++, Fortran, MATLAB, or similar languages for reservoir simulation, data processing, model calibration, or workflow automation.
• Experience utilizing computational linear algebra libraries (e.g., BLAS, LAPACK, HYPRE).
• Experience with large-scale flow models or physics-informed neural networks for multiphase flow modeling is a plus.

Pulled from the full job description

• Health insurance
• Dental insurance
• Relocation assistance
• Life insurance, * Dental insurance
• Health insurance
• Life insurance
• Relocation assistance

Ability to Relocate:

• Fort Collins, CO 80526: Relocate with an employer provided relocation package (Preferred)