This role pays more than
74%
of similar roles. Most pay
$172,000–$241,750
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$207k
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.
Senior Math Libraries Engineer – AI and HPC joins the Math Libraries team to focus on kernel generation for AI and HPC, specifically targeting matrix operations, JITing, and fusions. The role involves scoping, designing, and implementing high-performance numerical dense linear algebra software on GPUs while providing technical leadership and mentoring to other engineers and interns. You will collaborate with product management and customers to define feature requirements and contribute to technical roadmaps while re-architecting code to reduce maintenance overhead. Key technical requirements include expertise in C++, kernel generation, and composable library design for linear algebra. Preferred skills include experience with CUDA, MPI, OpenMP, OpenACC, pthreads, Python, and assembly for performance optimization. The work addresses the core challenge of developing GPU accelerated mathematical libraries to support advanced applications like deep learning, scientific simulations, and data analytics.
CUDA
OpenCL
C
C++
Python
MPI
NVSHMEM
OpenSHMEM
IPC
Benchmarking
Profiling
Linear Algebra
Numerical Methods
High Performance Computing
Machine Learning
AI