Developer Relations Manager, AI Natives

Nvidia

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$152,000–$241,500 / yr
Employment
Full-time
Posted
89 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $215k
This role $197k
$139k $277k
below market most similar roles pay here above market

This role pays less than 61% of similar roles. Most pay $174,675–$254,750 — the blue band above. At the midpoint, this role pays about $197k versus about $215k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Developer Relations Manager, AI Natives

The Developer Relations Manager – AI Natives joins the team to serve as a technical advisor for AI-native companies building agentic systems, AI copilots, and multimodal creative tools. You will partner with founders and engineering teams to architect and optimize AI workloads, focusing on scaling training and inference infrastructure while improving model performance, cost efficiency, and latency. Key responsibilities include guiding complex architectural decisions and creating reference architectures for real-time AI systems. You must possess deep expertise in machine learning infrastructure, distributed systems, and the modern AI stack, including LLMs and agent frameworks. Required technologies include CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, and NIM microservices. This role solves the technical challenge of optimizing large-scale inference and training for the next generation of generative AI products.

What you'll do

  • Serve as a technical advisor to AI-native companies building copilots, search engines, and agentic platforms.
  • Architect and optimize AI workloads using CUDA-X, TensorRT-LLM, Triton Inference Server, and NVIDIA NeMo.
  • Scale training and inference infrastructure to improve model performance, cost efficiency, and latency.
  • Guide startups through architectural decisions regarding model optimization, agent frameworks, and multimodal pipelines.
  • Influence NVIDIA’s platform roadmap by identifying emerging AI-native categories with internal engineering and product teams.
  • Create reference architectures, AI blueprints, and best practices for deploying scalable agentic systems.
  • Partner with internal business development and solutions teams to accelerate adoption of NVIDIA technologies.

What we're looking for

  • BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field.
  • 5+ years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management.
  • Hands-on experience building or scaling AI-powered products, developer platforms, or large-scale cloud services.
  • Strong expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications.
  • Deep understanding of the modern AI stack including LLMs, agent frameworks, multimodal models, and inference optimization.
  • Proven ability to work with engineering teams and startup founders to influence product architecture and technical roadmaps.
  • Exceptional communication skills to explain complex AI systems to engineers, startup founders, and executives.
  • Experience working with AI-native startups building developer tools, AI copilots, or agent platforms (preferred).

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