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NVIDIA is building a dedicated customer-facing function aimed at AI-native startups, suggesting it sees the next wave of GPU demand coming from a cohort of young companies building agents, copilots, and reasoning models, and is trying to win them as platform-dependent customers early rather than waiting for them to reach enterprise scale.
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. You will guide companies building agentic systems, AI copilots, developer tools, reasoning models, and multimodal AI applications, helping them accelerate training, optimize inference, and deliver world-class AI experiences to millions of users. The ideal candidate combines deep technical expertise in AI in systems, developer platforms, and large-scale inference infrastructure with a passion for working alongside the world’s most ambitious startup founders and engineers.
What you will be doing:
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.
What we need to see:
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.
Ways to Stand Out from the crowd:
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.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Answer a McCoy challenge. Companies hiring in engineering see your response and reach out when they want to talk.
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