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NVIDIA

Designs the chips and software that power AI

Senior Developer Relations Manager - Dynamo AI Inference

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • At least 8 years of overall technology industry experience, including at least 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; 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 personally delivered technical guides, working demos, talks, or workshops that helped developers solve real problems.
  • Ability to explain inference architecture and performance tradeoffs to audiences ranging from engineers to executives.

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 by turning feedback into concrete engineering and product requirements, influencing priorities, and communicating 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.

Desired Qualifications

  • A record of earning developer trust externally and influencing decisions internally, such as carrying a community-reported problem through to a shipped fix, API improvement, or simpler deployment workflow.
  • Experience working directly with the vLLM, SGLang, or Mooncake communities to co-create technical resources, recurring meetups, or hands-on workshops, with evidence of repeat participation, new contributors, and collaboration between projects.
  • Ability to identify patterns in developer feedback, serving-stack choices, and emerging inference workloads, and translate them into recommendations for product roadmaps, ecosystem investments, and partner priorities.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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