Senior Math Libraries Engineer, AI and HPC
Nvidia
Quick summary
Market check
How this pay compares to similar roles
This role pays more than 54% of similar roles. Most pay $151,356–$231,150 — the blue band above. At the midpoint, this role pays about $197k versus about $191k for comparable roles.
Based on 240 similar postings.
Employer
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 1472 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1109 roles with salary data.
Most-posted roles
At a glance
JOB TITLE: Senior Engineer, Math Libraries - Consumer and Embedded Platforms The Senior Engineer, Math Libraries - Consumer and Embedded Platforms joins the team enabling CUDA Math Libraries on new and specialized platforms. This role involves ensuring platform readiness for libraries including cuBLAS, cuSPARSE, cuSOLVER, and cuFFT through integration, functional qualification, compliance, and performance readiness. Daily responsibilities include performing defect triage, identifying performance targets, and establishing platform-specific qualification and validation pipelines. The position requires expertise in high-performance numerical software, GPU kernel development, and parallel programming using C++ and Python. Candidates must understand fundamental numerical methods for science, engineering, and deep learning. Key technical skills include experience with object-oriented programming, CI/CD systems, JIRA, and parallel programming models like MPI, OpenMP, OpenACC, and pthreads to solve complex computational problems in AI and scientific simulations.
Skills
What you'll do
What we're looking for
More like this
Nvidia
Nvidia
Nvidia
Nvidia
Nvidia
Nvidia