Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$171к-315к/год
$160к$210кмедиана$250к
По похожим ролям (50) ~ $210к/год
На СНГ рынке: $3.9к/мес ($3к - $5.6к)
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Четкая зона ответственности, фокус на AI-инфраструктуре и зарплата выше рыночного ориентира делают вакансию привлекательной, хотя широкий диапазон не дает понять точный уровень оплаты для конкретной локации.
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Широкий диапазонСовременный стекПонятные задачиВыше рынкаПерспективная сфера
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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