Description
As a Developer Relations Manager at NVIDIA, you will serve as a trusted technical advisor to the next generation of AI-native companies building category-defining applications. You will work directly with startup founders and engineering teams to architect and optimize AI workloads using NVIDIA technologies.
Your responsibilities will include:
- Working with startup founders and engineering teams to architect and optimize AI workloads using NVIDIA technologies
- Helping AI-native companies scale training and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms
- Guiding startups through complex architectural decisions including model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems
- Collaborating closely with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA's platform roadmap
- Building 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
- Supporting the creation of reference architectures, AI blueprints, and best practices that enable AI-native companies to deploy scalable AI applications and agentic systems
- Partnering with NVIDIA's Industry Business Development teams, Solutions Architects, and Account Managers to accelerate adoption of NVIDIA technologies across high-growth AI-native companies
To succeed in this role, you will need:
- A 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
If you have experience working with AI-native startups building developer tools, AI copilots, agent platforms, search systems, or multimodal applications, you will stand out from the crowd.