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7 дней назад

Senior AI Developer Relations Advocate — Rack Scale

170 500 - 315 490$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI Developer Relations Advocate — Rack Scale (AI/Kubernetes/distributed inference): Building reproducible reference applications, demos, blueprints, and workshop repositories for rack-scale AI platforms with an accent on Kubernetes, multinode serving, and AI-optimized fabrics. Focus on deploying and testing clean-cluster artifacts in CI, contributing upstream fixes, and leading technical workshops and livecoding sessions for developers and enterprise evaluators.

Location: Hybrid role based at an assigned Intel site in Phoenix, Arizona, with additional locations in Santa Clara, California, and Hillsboro, Oregon; United States.

Annual salary: $170,500–$315,490 USD.

Company

Technology organization developing data-center platforms, AI software, and computing infrastructure.

What you will do

  • Own rack-scale reference applications and Day0 enablement for AI software on data-center platforms, including Crescent Island.
  • Build forkable demos, blueprints, and workshop repositories for Kubernetes, multinode serving, and AI-optimized fabrics.
  • Deploy and test reference applications from clean clusters in CI to keep them reproducible as libraries, models, and topologies change.
  • Translate rack-scale reference designs into runnable artifacts and documentation for enterprise evaluators.
  • Lead workshops, hackathons, and livecoding sessions at developer events and customer sites.
  • Engage with upstream repositories and turn developer feedback into fixes, documentation, and product improvements.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field with 4 years of experience, or equivalent practical experience.
  • Hands-on production experience with Kubernetes, including accelerator scheduling, networking, and multinode workloads.
  • Experience with multinode and distributed inference serving using technologies such as vLLM, SGLang, or llmd.
  • Working knowledge of AI-optimized fabrics, rack-scale topologies, interconnect behavior, and collective communication.
  • Experience publishing reference applications or samples used by other developers, with open-source contributions preferred.
  • Previous Developer Relations or Developer Advocacy experience, including workshops or livecoding for developer audiences.

Nice to have

  • Strong Python engineering experience with the AI software stack.
  • Experience converting reference designs or architectures into reproducible deployment artifacts.
  • Ability to translate developer and evaluator feedback into documentation and product improvements.

Culture & Benefits

  • Hybrid work model combining on-site work at an assigned site with off-site work.
  • Health, retirement, and vacation benefits.
  • Competitive pay and stock bonuses.
  • Opportunities to work with upstream open-source communities and developer audiences.

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