Senior Math Libraries Engineer – Direct Sparse Solvers

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

📋 Description

• Designing, developing, and enhancing direct sparse solvers tailored for both existing and upcoming GPU architectures.

• Collaborating with library engineers, QA engineers, and interns on all facets of library development, from design through implementation, testing, release, and support.

• Partnering closely with product management and various internal and external stakeholders to grasp feature and performance requirements, while contributing to the technical roadmaps for libraries.

• Identifying and implementing opportunities to enhance the quality, performance, and maintainability of sparse linear algebra libraries by re-architecting and adopting innovative software development methodologies.

⛳️ Requirements

• PhD or MSc degree in Computer Science, Computational Science and Engineering, Applied Mathematics, or a related science or engineering discipline (or equivalent experience).

• Over 5 years of experience in developing, debugging, and optimizing high-performance numerical software using C++ and parallel programming; preferably with technologies such as CUDA, MPI, OpenMP, OpenACC, pthreads, or similar.

• Strong foundational knowledge in floating-point arithmetic, numerical analysis, and the implementation of sparse linear algebra operations, including matrix-vector and matrix-matrix products, as well as triangular solves.

• Proven experience in developing, maintaining, and testing scientific computing libraries.

• Excellent collaboration, communication, and documentation skills.

🏝️ Benefits

• Equity

• Benefits