GECI Int.

The main mission is to massively accelerate a sparse calculation engine by porting critical algorithms from Rust/C++ to CUDA/GPU, aiming for performance gains of 100x to 1000x. Responsibilities include developing performant Rust/CUDA wrappers, optimizing sparse matrix operations for GPU, designing GPU memory management strategies, and collaborating with the engineering team on integration.

The role involves designing and deploying HPC Cloud architectures and migrating HPC workloads to the Cloud. Additionally, the engineer will optimize costs and performance while providing client support and advice.

The role involves analyzing and profiling scientific codes, optimizing them for GPU, and modernizing legacy codes. Additionally, the engineer will set up CI/CD pipelines and document technical processes.