Developer Relations Manager, Core CUDA Math Libraries

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
68 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k
This role $236k
$146k most similar roles pay here $303k

This role pays more than 80% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $206k 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · Developer Relations Manager, Core CUDA Math Libraries

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NVIDIA is seeking a Developer Relations Manager to lead the strategic adoption and usage of its core CUDA Math Libraries, focusing on mixed precision computing. This role involves defining developer and ISV strategies with cross-functional teams in Product and Engineering, leading collaborations with key opinion leaders and influential researchers, and driving software adoption through direct engagement with target applications, academic institutions, and ISVs. The ideal candidate will have a strong background in high performance numerical computing, experience managing technical alliances, and expertise in NVIDIA products such as the HPC SDK, CUDA Toolkit, and cuBLAS. Additionally, hands-on knowledge of mixed-precision methods, floating-point emulation techniques, and high-performance computing environments is essential for this role within NVIDIA’s growing Math Libraries organization.

Skills

CUDA cuBLAS HPC SDK CUDA Toolkit Mixed precision Reduced precision Floating-point emulation High performance computing Applied machine learning Deep learning NVIDIA GPUs C C++ Python Linux

What you'll do

  • Lead strategic relationships with key opinion leaders and influential researchers in high performance computing.
  • Develop and execute developer and ISV strategy across Product and Engineering teams.
  • Evangelize NVIDIA's core CUDA math libraries to target applications, academic institutions, and ISVs.
  • Drive software adoption for mixed precision usage and tooling within the core CUDA math libraries.
  • Advocate for and lead enablement efforts of mixed precision computing in high performance numerical applications.

What we're looking for

  • BS/MS/PhD in Mathematics, Computer Science or Engineering or equivalent experience
  • 8+ years of experience managing ISVs and partnerships in a major technology company
  • Proven understanding of high performance numerical computing on CPUs and GPUs
  • Experience with NVIDIA products and SDKs (HPC SDK, CUDA Toolkit, cuBLAS)
  • Hands-on experience in high-performance computing environments and mixed-precision methods

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