Developer Relations Manager, Local AI Ecosystem at NVIDIA

Department: Account Mgr, Dev Relations

Compensation

$184,000 – $356,500/yr

Setup: On-site
Location: California
Type: Full-time
Level: lead/mgmt
Posted: Jul 10, 2026

Description

NVIDIA is hiring a Developer Relations leader to grow its local AI ecosystem by managing strategic partner relationships, advising AI software companies, enabling adoption of NVIDIA accelerated computing and developer tools, coordinating complex technical engagements, and translating partner feedback into product and roadmap decisions. The role requires extensive software engineering or developer-relations experience, hands-on AI/ML and GPU-acceleration expertise, and the ability to lead technical partnerships through production delivery. Compensation is listed as 184,000–287,500 USD for Level 4 and 224,000–356,500 USD for Level 5, with equity and benefits, and applications were accepted until July 14, 2026.

Required Skills

AI/ML software
GPU acceleration
Inference frameworks
Technical partnerships
Developer relations
Model serving
Quantization

Additional Information

Minimum Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience
Required Previous Experiences: 8+ years of professional experience in software engineering, developer relations, developer advocacy, solutions architecture, technical partnerships, or a similar technology position
Experience building and leading technical relationships with software companies, independent software vendors, startups, or open-source projects from initial engagement through production delivery
Hands-on experience with AI/ML software, including generative AI models, inference, model serving, or AI application development
Preferred Qualifications: Hands-on experience building or optimizing local AI applications, inference engines, agent systems, or developer tools for GPU-accelerated PCs and workstations
Experience with LLMs, VLMs, diffusion models, speech models, retrieval systems, tool use, or agentic application patterns
Depth in performance-critical areas such as quantization, distributed or multi-GPU inference, low-latency serving, heterogeneous compute, or model packaging and deployment
Track record of turning partner integrations into successful launches, developer adoption, compelling technical content, and durable ecosystem relationships
Prior experience with GPU manufacturers, AI platform companies, model providers, cloud or edge AI providers, research labs, or high-growth developer-tool companies

About NVIDIA

NVIDIA

人工智能计算Santa Clara, CA, US

NVIDIA invents the GPU and drives advances in AI, high-performance computing, gaming, creative design, autonomous vehicles, and robotics. Its accelerated computing, libraries, and AI models enable software makers and industry manufacturers to develop products using large-scale, physically accurate simulations and interactive digital twins.

Customers and case studies

See customers and case studies