Developer Relations Manager – AI Natives

This is a fully remote position, open to applicants in California.

📋 Description

• Act as a reliable technical consultant for AI-native companies developing developer copilots, AI search engines, agentic platforms, and multimodal creative tools.

• Design and enhance AI workloads utilizing NVIDIA technologies such as CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks.

• Assist companies in scaling their training and inference infrastructure while improving model performance, cost efficiency, and latency.

• Provide guidance to startups on model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.

• Collaborate with NVIDIA's engineering, research, product, and go-to-market teams to identify new AI-native categories and shape the platform roadmap.

• Establish connections with founders, CTOs, and technical leaders within the AI-native ecosystem.

• Develop reference architectures, AI blueprints, and best practices for scalable AI applications and agentic systems.

• Work alongside Industry Business Development teams, Solutions Architects, and Account Managers to promote the adoption of NVIDIA technology.

⛳️ Requirements

• BS/MS degree or equivalent experience in Computer Science, Engineering, or a related discipline.

• Over 5 years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management in the fields of AI, developer platforms, or large-scale software systems.

• Practical experience in building or scaling AI-driven products, developer platforms, or expansive cloud services.

• In-depth expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications.

• Comprehensive knowledge of LLMs, agent frameworks, multimodal models, and inference optimization.

• Demonstrated capability to collaborate closely with engineering teams and startup founders to influence product architecture and technical roadmaps.

• Outstanding communication skills with the ability to convey complex AI systems to engineers, startup founders, and executives.

• Experience in dynamic startup environments or with high-growth developer ecosystems.

• Background with AI-native startups, developer tools, AI copilots, agent platforms, search systems, or multimodal applications (ways to stand out).

• Experience optimizing LLM training or inference using TensorRT-LLM, Triton Inference Server, CUDA, RAPIDS, or similar GPU acceleration technologies (ways to stand out).

• Experience in constructing or scaling AI infrastructure platforms, developer tools, or agent frameworks utilized by large developer communities (ways to stand out).

• Experience in influencing product architecture and platform strategy with startup founders and early engineering teams (ways to stand out).

• Experience contributing to open-source AI frameworks or developer ecosystems (ways to stand out).

🏝️ Benefits

• Competitive salaries

• Generous benefits package

• Equity

• Inclusive work environment

• Equal opportunity employment