Teams at GeoSoftware

Build high-performance React and TypeScript visualization interfaces for large scientific datasets. Develop hardware-accelerated 2D and 3D rendering, reactive state architecture, live server-driven updates, multi-view coordination, extensible application interfaces, and scriptable workflows. Optimize rendering performance through profiling and collaborate with geoscientists, computational engineers, and platform engineers in a distributed team.

Own the distributed execution layer and delivery platform for geoscience software across workstations, HPC schedulers, managed services, and major clouds. Build orchestration, scaling, retries, monitoring, metering, infrastructure as code, secure deployments, containers, CI/CD, installers, and release pipelines. Optimize compute and object-storage performance, support restricted environments, and establish operational observability. The role requires strong Python, modern C++, distributed computing, cloud, Terraform, Kubernetes, security, and production support experience.

Develop and modernize numerical algorithms for geoscience software using C++ and Python. Responsibilities include algorithm research, rapid prototyping with geoscientists, parallelization, performance optimization, native-to-Python integration through pybind11, and rigorous numerical verification. The role involves improving mature code, designing regression and characterization tests, validating floating-point reproducibility, and collaborating with distributed platform and domain-expert teams.