Drimva

NVIDIA

Engineering Manager, Math Libraries Consumer and Embedded Platforms

$224K–$431K

US, CA, Santa Clara +5 · Manager · Full-time · Posted Oct 8, 2026

Location
US, CA, Santa Clara
US, DC, Remote
US, TX, Remote
US, PA, Remote
US, WA, Remote
US, CA, Remote
Experience
8+ years overall developing high-performance numerical software; 3+ years leading and mentoring software engineering teams.
Education
PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or a related science or engineering field (or equivalent experience).

About the job

Leads a team responsible for integrating, qualifying, and ensuring the performance and compliance of CUDA Math Libraries across specialized platforms.

What you'll do

  • Lead, mentor, and develop the team; own platform integration, functional qualification, and compliance.
  • Establish platform-specific validation pipelines, triage and fix issues, and identify performance targets and regressions.
  • Define the platform-readiness roadmap and coordinate dependencies across library, CUDA, compiler, QA, release, and platform teams.

What they ask for

  • PhD or MSc in a related science or engineering field, or equivalent experience.
  • 8+ years developing high-performance numerical software.
  • 3+ years leading and mentoring software engineering teams.
  • Hands-on experience with C++ and Python, HPC software architecture, parallel computing, testing, maintenance, and performance optimization.

Nice to have

  • CUDA or GPU-accelerated computing; parallel programming such as MPI, OpenMP, OpenACC, or pthreads; or familiarity with math libraries.
  • Agentic AI use, cross-platform development, or experience delivering safety-critical or embedded software.

Pay

224,000 USD - 356,500 USD base salary (Level 3); 272,000 USD - 431,250 USD base salary (Level 4)

Tools

C++, Python, CUDA, MPI, OpenMP, OpenACC, pthreads, JIRA

AI focus

The role may use Agentic AI to improve efficiency and code quality; experience is a preferred qualification. NVIDIA also states that it uses AI tools in recruiting.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)