Developer Relations Manager

We are seeking a visionary Developer Relations Manager to engage with the next generation of AI-native software companies , the builders creating entirely new categories of products powered by generative models, agents, and multimodal AI.

In this role, you will partner directly with AI-native founders, product leaders, and engineering teams to help them design, optimize, and scale their AI platforms on NVIDIA technologies.

Responsibilities:

• Serve as a trusted technical advisor to the next generation of AI-native companies building category-defining applications such as developer copilots, AI search engines, agentic platforms, and multimodal creative tools.
• Work directly with startup founders and engineering teams to architect and optimize AI workloads using NVIDIA technologies including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks.
• Help AI-native companies scale training and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms.
• Guide startups through complex architectural decisions including model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.
• Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA’s platform roadmap.
• Build strong relationships with founders, CTOs, and technical leaders across the AI-native ecosystem to ensure NVIDIA is the platform of choice for the most innovative AI companies.
• Support the creation of reference architectures, AI blueprints, and best practices that enable AI-native companies to deploy scalable AI applications and agentic systems.
• Partner with NVIDIA’s Industry Business Development teams, Solutions Architects, and Account Managers to accelerate adoption of NVIDIA technologies across high-growth AI-native companies.

Requirements:

• BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field.
• 5+ years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management within AI, developer platforms, or large-scale software systems.
• Hands-on experience building or scaling AI-powered products, developer platforms, or large-scale cloud services.
• Strong expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications.
• Deep understanding of the modern AI stack including LLMs, agent frameworks, multimodal models, and inference optimization.
• Proven ability to work closely with engineering teams and startup founders to influence product architecture and technical roadmaps.
• Exceptional communication skills and the ability to explain complex AI systems to audiences ranging from engineers to startup founders and executives.
• Experience working within fast-moving startup environments or supporting high-growth developer ecosystems.

Preferred Qualifications:

• Experience working with AI-native startups building developer tools, AI copilots, agent platforms, search systems, or multimodal applications.
• Hands-on experience optimizing LLM training or inference workloads using frameworks such as TensorRT-LLM, Triton Inference Server, CUDA, RAPIDS, or similar GPU acceleration technologies.
• Experience building or scaling AI infrastructure platforms, developer tools, or agent frameworks used by large developer communities.
• Demonstrated success working directly with startup founders and early engineering teams to shape product architecture and platform strategy while also helping them scale to full out platform companies.
• Experience contributing to open-source AI frameworks or developer ecosystems.

We offer competitive salaries and a generous benefits package.