Developer Relations Manager, Local AI Ecosystem

About the role

This role is a Developer Relations leader responsible for growing NVIDIA's local AI ecosystem. The ideal candidate combines hands-on AI software expertise, strong partner instincts, and the ability to transform emerging ecosystem opportunities into repeatable technical and go-to-market outcomes.

Responsibilities

• Own a portfolio of strategic local AI partners as NVIDIA's primary relationship and technical engagement lead, from opportunity identification and onboarding through integration, launch, and ongoing adoption.
• Serve as a trusted technical advisor and problem solver for model developers, AI application and tool providers, agent-platform companies, inference-runtime teams, and open-source communities.
• Drive adoption and optimization of NVIDIA accelerated computing, AI runtimes, SDKs, and developer tools across local and hybrid AI workflows on Windows and Linux.
• Define joint partner plans with clear technical milestones, success criteria, launch readiness, and measurable ecosystem outcomes.
• Engage directly with partner engineers, technical leaders, founders, and development groups to understand goals, unblock integrations, and promote guidelines for performance, reliability, and user experience.
• Represent the voice of the partner inside NVIDIA, translating field insights into actionable product requirements and roadmap feedback for engineering and product teams.
• Collaborate with engineering, product management, Developer Technology, business development, marketing, legal, and sales to structure and complete complex partner engagements.
• Create and scale technical enablement through reference integrations, samples, tutorials, workshops, playbooks, and partner-ready launch materials.
• Represent NVIDIA at developer events, conferences, community forums, and partner briefings, communicating a clear and credible point of view on local AI.
• Track emerging models, frameworks, runtimes, developer behaviors, and competitive shifts, then turn those signals into partner priorities and ecosystem strategy.

Requirements

• 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 the software layers that shape local AI performance, such as inference frameworks (vLLM, SGLang, Llama.cpp, Ollama), model formats, quantization, memory management, and hardware-aware optimization.
• Experience building and leading technical relationships with software companies, independent software vendors, startups, or open-source projects from initial engagement through production delivery.
• Demonstrated ability to structure complex technical engagements, negotiate requirements, prioritize issues, and coordinate execution across engineering, product, marketing, business, sales, and legal teams.
• Excellent written, verbal, and presentation skills, with the ability to explain complex technical concepts to audiences ranging from hands-on developers to senior executives.
• Strong judgment, initiative, and follow-through in fast-moving environments with incomplete information and multiple stakeholders.
• Able to occasionally travel as needed for partner engagements, developer events, and industry conferences (less than 20% of the time).

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 one or more performance-critical areas such as quantization, distributed or multi-GPU inference, low-latency serving, heterogeneous compute, or model packaging and deployment.
• A 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.

Skills

• Strong technical background in AI/ML software.
• Experience with GPU acceleration and software layers shaping local AI performance.
• Ability to engage and collaborate with various stakeholders.
• Excellent communication and presentation skills.
• Ability to work in a fast-paced, dynamic environment.

Benefits

NVIDIA offers a comprehensive benefits package including health insurance, retirement savings plans, and paid time off.

Pay

The base salary range for this role is $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5. You will also be eligible for equity and benefits.

Schedule

The schedule for this role is full-time.