Developer Relations Manager, Cloud Service Provider

NVIDIA•Redmond, WA

15d

About The Position

We are seeking a Developer Relations professional to lead hands‑on technical engagement with CSP AI engineering teams to accelerate adoption of NVIDIA software and platforms across the AI stack. This role partners directly with AI developers to enable, help optimize, and integrate NVIDIA technologies, while funneling product feedback and priorities back into NVIDIA engineering and product teams. The objective is to build durable developer relationships, scale repeatable enablement, and de‑risk execution across a rapidly growing AI organization. What you'll be doing Serve as the primary technical DevRel interface for CSP AI engineering teams; build and maintain strong working relationships with key developer leads and stakeholders. Drive NVIDIA software adoption by delivering hands‑on guidance and technical support across relevant SDKs/libraries and platform integrations (e.g., model serving, training and inference optimizations). Develop and maintain reference implementations, sample code, and “golden path” guidance that AI teams can reuse across projects to accelerate time‑to‑production. Lead technical performance investigations with AI engineers (profiling, bottleneck analysis, best‑practice tuning), partnering with NVIDIA engineering teams as needed to resolve issues quickly. Build and execute a developer engagement plan (workshops/office hours/technical deep dives) and report progress, early signals, and blockers to internal stakeholders. Create high‑quality technical demos and content (blogs, labs, tutorials, conference materials) that showcase NVIDIA solutions in AI‑relevant scenarios and improve developer satisfaction. Capture structured developer feedback, identify recurring friction points, and influence internal roadmap decisions by collaborating across NVIDIA engineering, product, marketing, PR, sales, and support. Where applicable, help coordinate broader NVIDIA developer programs (e.g., ecosystem pathways) that increase reach and adoption.

Requirements

BS/MS in Computer Science, Engineering, or equivalent experience.
A minimum of 12+ years of overall professional experience in the technology industry working with hyperscalers in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience with Artificial Intelligence software stacks and services
Strong software engineering background in one or more: Python/C++/CUDA, distributed systems, ML inference/serving, performance engineering, cloud platforms.
Demonstrated experience working directly with developers (internal or external), including technical enablement, troubleshooting, and shipping production‑grade artifacts.
Excellent communication skills: ability to translate deep technical concepts into clear guidance and repeatable best practices.

Nice To Haves

Experience with GPU acceleration stacks and/or ML serving toolchains; familiarity with profiling and optimization workflows.
Experience building developer content: samples, tutorials, labs, or conference demos/talks.
Proven ability to influence cross‑functional partners and drive outcomes across engineering/product/field organizations.
Prior experience with hyperscalers or first‑party platform teams.

Responsibilities

Serve as the primary technical DevRel interface for CSP AI engineering teams; build and maintain strong working relationships with key developer leads and stakeholders.
Drive NVIDIA software adoption by delivering hands‑on guidance and technical support across relevant SDKs/libraries and platform integrations (e.g., model serving, training and inference optimizations).
Develop and maintain reference implementations, sample code, and “golden path” guidance that AI teams can reuse across projects to accelerate time‑to‑production.
Lead technical performance investigations with AI engineers (profiling, bottleneck analysis, best‑practice tuning), partnering with NVIDIA engineering teams as needed to resolve issues quickly.
Build and execute a developer engagement plan (workshops/office hours/technical deep dives) and report progress, early signals, and blockers to internal stakeholders.
Create high‑quality technical demos and content (blogs, labs, tutorials, conference materials) that showcase NVIDIA solutions in AI‑relevant scenarios and improve developer satisfaction.
Capture structured developer feedback, identify recurring friction points, and influence internal roadmap decisions by collaborating across NVIDIA engineering, product, marketing, PR, sales, and support.
Where applicable, help coordinate broader NVIDIA developer programs (e.g., ecosystem pathways) that increase reach and adoption.