Global Account Manager, Developer Relations

Nvidia

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
CA, Canada
Salary
$224,000–$356,500 / yr
Posted
39 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k
This role $290k
$124k most similar roles pay here $381k

This role pays more than 99% of similar roles. Most pay $160,850–$197,750 — the shaded band above. At the midpoint, this role pays about $290k versus about $179k 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.

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View all roles at Nvidia

At a glance

TL;DR · Global Account Manager, Developer Relations

As a Global Account Manager, Developer Relations - Amazon, you will lead the technical charter to advance the integration of NVIDIA’s libraries, models, and frameworks across Amazon's platforms. You will collaborate with product teams to drive adoption of the NVIDIA software stack, including SDKs, NIMs, and blueprints, while aligning with long-term business goals. Your daily responsibilities involve coordinating between internal engineering teams and partner organizations to resolve technical challenges, advocate for NVIDIA tools among developers, and influence product roadmaps based on field insights. You will utilize expertise in accelerated computing, inference serving, model optimization, and agentic workflows to deliver differentiated solutions. The role requires proficiency with technologies such as CUDA-X, cuVS, cuDF, Triton, TRT-LLM, and the JAX and XLA training stacks to solve complex problems in data processing and AI/ML development.

What you'll do

  • Drive the adoption of NVIDIA software libraries, open models, and frameworks across the partner's business and engineering groups.
  • Integrate NVIDIA’s software stack into the partner's products, platforms, and pipelines to accelerate critical workloads.
  • Coordinate between internal NVIDIA technical teams and Amazon teams to align on product and engineering priorities.
  • Resolve technical challenges and guide integration efforts by engaging with NVIDIA technical leadership.
  • Relay field insights and identified new workflows to NVIDIA product teams to influence roadmap and strategy.
  • Advocate for NVIDIA tools and libraries among the partner's technical leaders, architects, and developer groups.
  • Identify unique integration opportunities in areas like agentic workflows, data processing, and model optimization.
  • Collaborate with marketing and co-sell teams to incubate partnerships and deliver early joint wins.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Engineering, Electrical Engineering, or a similar field (or equivalent experience).
  • 12+ years of professional experience in developer relations, product management, technical partnerships, business development, or solutions architecture.
  • 3+ years of hands-on experience applying accelerated computing to production workloads like inference serving, AI/ML development, and data processing.
  • Deep understanding of Hyperscaler platform ecosystems, including first-party services, PaaS offerings, and model catalogs.
  • Proven ability to structure complex technical engagements and collaborate with cross-functional teams across sales, legal, product, and marketing.
  • Exceptional ability to communicate complex technical concepts to audiences ranging from developers to C-suite executives.
  • Experience influencing partner product roadmaps and advocating for software solutions to technical leaders.
  • Familiarity with NVIDIA software libraries, frameworks, and models, as well as JAX and XLA training stacks at scale.

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