Senior Developer Relations Manager - Dynamo AI Inference
NVIDIA· Account Mgr, Dev Relations
Santa Clara, CA, New York, NY, Seattle, WA$184k - $287.5kFull-timePosted 2w ago
About the role
Senior individual contributor role to build the developer ecosystem around NVIDIA Dynamo, an open-source AI inference framework. Responsible for enabling developers to deploy and operate inference systems, creating technical resources, and representing developer needs inside and outside NVIDIA.
Responsibilities
- Build the ecosystem with vLLM, SGLang, Mooncake, llm-d, and other inference projects through joint demos, integration guides, upstream contributions, and community programs that bring developers and maintainers together.
- Develop runnable demos, sample code, technical documentation, and videos that explain Dynamo’s modular ecosystem and demonstrate its data center performance value.
- Represent the developer community inside NVIDIA: turn feedback into concrete engineering and product requirements, influence priorities, and communicate progress back to developers.
- Advocate externally through technical talks, live demos, workshops, and office hours. Help developers troubleshoot real deployments and contribute to projects; track repeat participation, contributor growth, and issues resolved.
Qualifications
- Degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 8+ years of overall technology industry experience, including 4+ years in AI/ML infrastructure, model serving, or distributed systems. Experience leading developer or partner programs across engineering, product, sales, marketing, and legal.
- Background in AI inference with practical experience deploying and managing model-serving systems: configuring deployments, monitoring latency and throughput, scaling capacity, and troubleshooting reliability or performance issues. Familiarity with inference engines such as vLLM, SGLang, or TensorRT-LLM, distributed serving stacks such as Dynamo or llm-d, and deploying and operating inference workloads on Kubernetes.
- Experience working with open-source maintainers through issues, pull requests, and design discussions, and translating developer feedback into technical priorities.
- A portfolio of technical guides, working demos, talks, or workshops you personally delivered that helped developers solve real problems. Ability to explain inference architecture and performance tradeoffs to audiences from engineers to executives.
Skills
Required:AI/ML infrastructureOpen-source collaborationKubernetes
Benefits
- Equity and benefits (NVIDIA benefits)
Last updated Oct 9, 2026. Interested? Apply on the company site.
About NVIDIA
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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