GeoSoftware is a global leader in Geoscience Software and provides a comprehensive range of software solutions that support our clients to achieve their goals. Our tools help our clients to develop a better understanding of the subsurface, manage exploration and development risks, and quantify reserves more accurately with our advanced geoscience technology.
Working at GeoSoftware is all about passion and sharing our ambition for ongoing technological innovation. Our people are our most important asset and developing our talents is a priority. As part of GeoSoftware, you will work with international and diverse teams of experts in an environment of excellence, which will enable you to create your own opportunities and realize your full potential.
We are looking for an experienced computational engineer to join our Digital Platform team.
You would work on the numerical core of our geoscience software: algorithms that have been in production use across the industry for two decades, which we are modernizing into headless, independently testable, independently deployable components that run correctly and quickly across hundreds of cores.
You would write the tests that show an optimized version still gives the same answer.
A large part of it is finding the faster way: reading the literature, questioning an algorithm's formulation rather than only its implementation, and knowing when an order-of-magnitude gain is sitting in the mathematics rather than in the loop. The other part is working directly with subject matter experts—building quick prototypes with them, putting something in front of them within days,



and iterating on it until the science is right, before any of it is hardened into production code.
We are looking for a physics or geoscience background and strong Python alongside C++.
You would work in a small, senior, distributed team alongside platform and front-end engineers, and with geoscientists who use the results professionally every day.
Separate established numerical code from the application framework it grew up in, producing headless, testable, independently deployable components
Work inside a large, mature, sparsely documented C++ codebase and leave it better understood than you found it
Expose C++ to Python through pybind11, with attention to memory ownership, the GIL and zero-copy array handling
Build quick prototypes in Python with subject matter experts, iterate with them on the science, and only then decide what deserves to become production C++
Work with the platform engineers on how compute is distributed and on the seam between native code and the execution layer
Write characterization tests before refactoring and regression suites that catch what code review will not
Work in short iterations with continuous integration, code review and acceptance criteria agreed before implementation




Contribute to the technical direction of a small team, and write down the decisions that matter
Strong modern C++ with real numerical computing experience-linear algebra, signal processing, transforms, optimization, or inversion
Strong Python, including the scientific stack-NumPy, SciPy, and the array-programming idiom-and experience binding native code to it
Solid grounding in floating-point behavior, numerical stability, and error analysis
Parallel programming: threading, SIMD, and the trade-offs of data decomposition
A test-first instinct and the patience to establish a baseline before changing anything
Strong written English and the habit of documenting asynchronously
Technical expertise (numerical and scientific computing)
A postgraduate degree is welcome but not required
Minimum 5 years of professional experience in numerical, scientific or performance-critical computing
Robust Python, including the scientific stack, and experience at the native-to-Python boundary
Demonstrable modern C++ experience in a production codebase
Demonstrable experience with parallel programming and performance optimization
Able to work effectively in a small, remote, multi-time-zone team: writing things down, communicating asynchronously, and operating without close supervision
Fluent written and spoken English
Performance work with BLAS, LAPACK, FFTW, or Eigen
Fluent with AI coding tools for prototyping, test generation, and refactoring, with the judgement to know where their output must be verified rather than trusted

📌 Senior Software Engineer Eu Remote H/F (Calgary)
🏢 GeoSoftware
📍 Calgary