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Senior Developer Relations Manager, NVIDIA Dynamo AI Inference

Grow the developer ecosystem for NVIDIA Dynamo, an open-source framework for distributed AI inference. Create technical resources, support developers, and shape inference product priorities through community feedback.

USAmerika Qo‘shma ShtatlariCAKaliforniyaNYNyu-YorkWAVashington
184 000 $ – 356 500 $ / yil
OfisdaTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaDasturchilar bilan aloqalar
KubernetesTaqsimlangan tizimlar

Tavsif

  • Grow the developer ecosystem for NVIDIA Dynamo, NVIDIA’s open-source framework for distributed AI inference.
  • Work with vLLM, SGLang, Mooncake, llm-d, and other inference projects through joint demos, integration guides, upstream contributions, and community programs.
  • Create runnable demos, sample code, technical documentation, and videos that explain Dynamo’s modular ecosystem and data center performance value.
  • Bring developer feedback into NVIDIA by translating it into engineering and product requirements, influencing priorities, and sharing progress with developers.
  • Represent NVIDIA externally through technical talks, live demos, workshops, and office hours.
  • Help developers troubleshoot real deployments and contribute to projects.
  • Measure repeat participation, contributor growth, and issues resolved.
  • Create technical resources, recurring meetups, and hands-on workshops with inference communities.
  • Turn developer feedback, serving-stack choices, and emerging inference workloads into recommendations for product roadmaps, ecosystem investments, and partner priorities.

Talablar

  • Degree in computer science, engineering, or a related field, or equivalent experience.
  • At least 8 years of experience in the technology industry, including 4 or more years in AI/ML infrastructure, model serving, or distributed systems.
  • Experience leading developer or partner programs across engineering, product, sales, marketing, and legal teams.
  • Hands-on experience deploying and managing model-serving systems, including configuring deployments, monitoring latency and throughput, scaling capacity, and resolving reliability or performance issues.
  • Familiarity with inference engines such as vLLM, SGLang, or TensorRT-LLM.
  • Familiarity with distributed serving stacks such as Dynamo or llm-d.
  • Experience deploying and operating inference workloads on Kubernetes.
  • Experience working with open-source maintainers through issues, pull requests, and design discussions.
  • Experience turning developer feedback into technical priorities.
  • A portfolio of technical guides, working demos, talks, or workshops personally delivered to help developers solve practical problems.
  • Ability to explain inference architecture and performance tradeoffs to audiences ranging from engineers to executives.
  • A record of earning developers’ trust externally and influencing decisions internally.
  • Experience working directly with the vLLM, SGLang, or Mooncake communities.
  • Ability to identify patterns in developer feedback, serving-stack choices, and emerging inference workloads and turn them into recommendations.

Imtiyozlar

  • Equity.
  • Employee benefits.
  • Information about NVIDIA employee and family benefits is available at www.nvidiabenefits.com/.

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