This role pays more than
64%
of similar roles. Most pay
$177,750–$260,112
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$219k
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.
As a Developer Relations Manager, Local AI Ecosystem, you will join the team to grow the local AI ecosystem by managing strategic partnerships with companies and open-source projects building models, runtimes, tools, and agent platforms for PCs and workstations. You will serve as a technical advisor to model developers and tool providers, driving the adoption of NVIDIA accelerated computing, SDKs, and developer tools across Windows and Linux environments. Your daily work involves identifying opportunities, unblocking integrations, translating field insights into product requirements, and creating technical enablement materials like tutorials and playbooks. The role requires expertise in AI/ML software, including generative AI models, inference frameworks like vLLM, SGLang, Llama.cpp, and Ollama, as well as quantization, memory management, and hardware-aware optimization to solve challenges in on-premise and hybrid AI workflows.
Manage a portfolio of strategic local AI partners from initial onboarding through integration and launch.
Serve as a technical advisor to model developers, tool providers, and open-source communities.
Drive the adoption and optimization of NVIDIA accelerated computing, SDKs, and tools for local AI workflows.
Define joint partner plans with clear technical milestones, success criteria, and measurable ecosystem outcomes.
Translate field insights from partners into actionable product requirements and roadmap feedback for internal engineering teams.
Create technical enablement materials including reference integrations, samples, tutorials, and workshops.
Represent NVIDIA at developer events and conferences to communicate a clear point of view on local AI.
Analyze emerging models, frameworks, and competitive shifts to inform partner priorities and ecosystem strategy.
What we're looking for
Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
8+ years of professional experience in software engineering, developer relations, developer advocacy, solutions architecture, technical partnerships, or similar roles.
Hands-on experience with AI/ML software, including generative AI models, inference, model serving, or application development.
Working knowledge of GPU acceleration and software layers like vLLM, SGLang, Llama.cpp, Ollama, quantization, and hardware-aware optimization.
Experience building and leading technical relationships with software companies, ISVs, startups, or open-source projects.
Ability to structure complex technical engagements and coordinate across engineering, product, marketing, business, sales, and legal teams.
Excellent written, verbal, and presentation skills to communicate complex concepts to both developers and executives.
Ability to travel as needed for partner engagements and industry conferences less than 20% of the time.
NVIDIA
CUDA
TensorRT-LLM
Triton Inference Server
NVIDIA NeMo
NIM
GPU Acceleration
LLMs
Agent Frameworks
Multimodal AI
Distributed Systems
Machine Learning Infrastructure
Model Optimization
Inference Scaling
RAPIDS
Deep Learning
AI
Robotics
Autonomous Systems
CUDA
NeMo
Nemotron
Isaac Sim
Isaac GROOT
Alpamayo
NVIDIA Software Stack
SDKs
Architectural Design
Code Review
AI
Machine Learning
Generative AI
CUDA
CUDA-X
NVIDIA AI Enterprise
NIM
NeMo
Nemotron
BioNeMo
cuQuantum
Omniverse
Isaac
RAPIDS
TensorRT
Triton Inference Server
DGX
Open Source