מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
What you will be doing:
Designing, implementing and optimizing scalable high-performance numerical dense linear algebra software on GPUs
Providing technical leadership and guidance to library engineers, QA engineers, and interns working with you on projects
Working closely with product management and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries
Finding and realizing opportunities to improve library quality, performance and maintainability through re-architecting and establishing innovative software development practices
What we need to see:
PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field (or equivalent experience)
5+ years of overall experience in developing, debugging and optimizing high-performance numerical linear algebra software using C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads
Strong fundamentals in numerical methods such as computational linear algebra, linear system solvers, and methods for eigenvalue, singular value, and other decompositions
Experience developing dense linear algebra libraries such as BLAS, LAPACK; and their parallel counterparts like PBLAS and SCALAPACK
Strong collaboration, communication, and documentation habits
Ways to stand out from the crowd:
Good knowledge of CPU and/or GPU hardware architecture
Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA.
Experience with working in a globally distributed organization
Strong background of large-scale computing technologies such as PDE solvers, eigenvalue solvers and time-domain simulation methods (e.g., CFD, FEA)
You will also be eligible for equity and .
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