This role pays more than
81%
of similar roles. Most pay
$175,230–$235,750
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$205k
for comparable roles.
Based on 239 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
563 open roles
on FindRole.
Listed pay typically runs
$168,000–$264,500
across 556 roles with salary data.
Join our team of software engineers focused on developing high-performance linear algebra kernels for GPUs, contributing to libraries like cuSOLVER. You will design, implement, and optimize dense linear algebra algorithms including triangular factorizations and eigenvalue decompositions, collaborating with library engineers, QA teams, and product management to enhance performance and maintainability. Ideal candidates have a PhD or MSc in Computational Science and Engineering or related fields, with 5+ years of experience in high-performance numerical software development using C++ and parallel programming techniques such as CUDA and MPI. Strong knowledge of numerical methods, dense linear algebra libraries like BLAS and LAPACK, and large-scale computing technologies is essential, along with skills in CI/CD systems and project management tools.