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NVIDIA

Senior Developer Relations Manager – Dynamo AI Inference

NVIDIA

. Build the developer ecosystem around NVIDIA Dynamo, an open-source framework for distributed AI inference.

Posted 10/9/2026full-timeUnited StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and managing developer ecosystems around AI inference frameworks, with a strong focus on community engagement, technical documentation, and feedback translation into product requirements. Proficient in deploying and operating model-serving systems and inference workloads, particularly in distributed environments.

Highest-signal resume keywords
AI/ML Infrastructure ExperienceModel Serving Systems ManagementKubernetes DeploymentCommunity Engagement and AdvocacyTechnical Documentation Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Distributed SystemsModel ServingTechnical DocumentationFeedback TranslationPerformance MonitoringTroubleshootingInference WorkloadsOpen-Source ContributionsScaling CapacityLatency and Throughput Management
Soft Skills
Influencing DecisionsBuilding Developer TrustCommunication SkillsCollaborationProblem Solving
Tools & Technologies
NVIDIA DynamoVLLMSGLangMooncakeLlm-dTensorRT-LLMKubernetes
Industry Keywords
Developer EcosystemCommunity ProgramsTechnical TalksWorkshopsIntegration Guides

Tech Stack

Tools & technologies
Distributed SystemsKubernetes

About the role

Key responsibilities & impact
  • Build the developer ecosystem around NVIDIA Dynamo, an open-source framework for distributed AI inference.
  • Build the ecosystem with vLLM, SGLang, Mooncake, llm-d, and other inference projects through joint demos, integration guides, upstream contributions, and community programs.
  • Develop runnable demos, sample code, technical documentation, and videos explaining Dynamo’s modular ecosystem and data center performance value.
  • Represent the developer community inside NVIDIA by turning feedback into engineering and product requirements, influencing priorities, and communicating progress 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.
  • Co-create technical resources, recurring meetups, and hands-on workshops with inference communities.
  • Translate developer feedback, serving-stack choices, and emerging inference workloads into recommendations for product roadmaps, ecosystem investments, and partner priorities.

Requirements

What you’ll need
  • 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.
  • Practical experience deploying and managing model-serving systems, including 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.
  • 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 translating developer feedback into technical priorities.
  • Portfolio of technical guides, working demos, talks, or workshops personally delivered to help developers solve real problems.
  • Ability to explain inference architecture and performance tradeoffs to audiences from engineers to executives.
  • Record of earning developer 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 translate them into recommendations.

Benefits

Comp & perks
  • Equity
  • Benefits
  • NVIDIA employee and family benefits information provided at www.nvidiabenefits.com/