below marketmost similar roles pay hereabove market
This role pays more than
65%
of similar roles. Most pay
$183,675–$260,412
— the blue band above.
At the midpoint, this role pays about
$236k
versus about
$222k
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.
The Developer Relations Manager, Local AI Ecosystem joins the team to grow the local AI ecosystem by managing strategic partnerships with companies building models, runtimes, tools, and agent platforms. This role involves serving as a technical advisor to model developers and open-source communities, driving the adoption of accelerated computing, AI runtimes, and SDKs across Windows and Linux workflows. You will define joint partner plans, create technical enablement materials like tutorials and playbooks, and translate field insights into product requirements. Key technical requirements include hands-on experience with generative AI models, inference frameworks such as vLLM, SGLang, Llama.cpp, and Ollama, as well as knowledge of quantization, memory management, and hardware-aware optimization. The role solves the challenge of integrating AI onto PCs and workstations.
Own a portfolio of strategic local AI partners from initial onboarding through integration and launch.
Serve as a technical advisor to model developers, AI application providers, and open-source communities.
Drive adoption of NVIDIA accelerated computing, AI runtimes, and SDKs across local and hybrid workflows.
Define joint partner plans with clear technical milestones, success criteria, and measurable ecosystem outcomes.
Translate field insights into actionable product requirements and roadmap feedback for internal engineering teams.
Create technical enablement materials including reference integrations, samples, tutorials, and partner-ready launch materials.
Represent NVIDIA at developer events and conferences to communicate a clear point of view on local AI.
Track emerging models 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 a similar technology position.
Strong hands-on experience with AI/ML software, including generative AI models, inference, model serving, or AI application development.
Working knowledge of GPU acceleration and software layers for local AI performance, including inference frameworks, model formats, quantization, and memory management.
Experience building and leading technical relationships with software companies, independent software vendors, startups, or open-source projects.
Demonstrated ability to structure complex technical engagements and coordinate execution across engineering, product, marketing, business, sales, and legal teams.
Excellent written, verbal, and presentation skills to explain complex technical concepts to developers and senior executives.
Hands-on experience building or optimizing local AI applications, inference engines, agent systems, or developer tools for GPU-accelerated PCs and workstations (preferred).
Remote (Santa Clara, CA)89 days ago
$152,000–$241,500
NVIDIA
CUDA
TensorRT-LLM
Triton Inference Server
NVIDIA NeMo
NIM
LLMs
Distributed Systems
Machine Learning Infrastructure
GPU Acceleration
RAPIDS
Model Optimization
Inference Scaling
Agent Frameworks
Multimodal AI
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
Remote (Santa Clara, CA)15 days ago
$152,000–$241,500
AI
Machine Learning
Generative AI
CUDA
CUDA-X
NVIDIA AI Enterprise
NIM
NeMo
Nemotron
BioNeMo
cuQuantum
Omniverse
Isaac
RAPIDS
TensorRT-LLM
Dynamo
DGX
Accelerated Computing
Retrieval Systems