This role pays more than
65%
of similar roles. Most pay
$196,633–$254,500
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$226k
for comparable roles.
Based on 240 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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior Math Libraries Engineer - Direct Sparse Solvers, you will join the development team for cuDSS, a CUDA library designed for direct solvers of sparse linear systems. You will be responsible for designing, implementing, and optimizing these solvers across various GPU architectures while collaborating with engineers, QA teams, and product management to define technical roadmaps and improve library maintainability. The role requires expertise in C++, high-performance numerical software, and parallel programming technologies such as CUDA, MPI, OpenMP, OpenACC, or pthreads. You will apply deep knowledge of floating-point arithmetic, numerical analysis, and sparse linear algebra primitives like matrix-vector products and triangular solves. This position addresses the technical challenge of providing accelerated computing kernels for complex applications including scientific simulations, data analytics, and artificial intelligence.