Rackscale AI DevRel Advocate & Livecoding Lead

Intel Corporation

Hillsboro (OR)

Hybrid

USD 171,000 - 315,000

Full time

2 days ago
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Benefits offered by this job

Stock bonuses
Health insurance
Retirement plan
Vacation

Job summary

Intel Corporation in the United States seeks a Senior AI Developer Advocate for rack scale to own reference applications and Day0 enablement for the AI software stack on data center platforms, with a focus on Crescent Island.

You will build demos, blueprints, and workshop repositories across Kubernetes, multinode serving (vLLM, SGLang, llmd), and AI-optimized fabric, translating designs into runnable artifacts for evaluators to reproduce.

Qualifications

  • Bachelor's degree with 4+ years in Computer Science/Engineering or equivalent practical experience.
  • Hands-on experience running Kubernetes in production, including accelerator scheduling and multinode deployment.
  • Experience publishing reference apps or samples with open source contributions.

Responsibilities

  • Own the rackscale reference applications and Day0 enablement for the AI software stack on data center platforms, focusing on Crescent Island.
  • Build demos, blueprints, and workshop repositories that developers and evaluators can fork and run at rack scale.
  • Translate rackscale reference designs into runnable artifacts for reproducibility by evaluators.
  • Deploy and test reference apps from a clean cluster in CI to ensure first-time success and reproducibility.
  • Lead flagship workshops and livecoding sessions at developer events and customer sites.
  • Engage upstream in repositories the references depend on and contribute fixes and enablement.

Skills

Kubernetes production
Multinode inference serving
Distributed inference
Open source contributions
Developer relations
Python engineering

Education

Bachelor's degree in CS/CE or related field

Tools

vLLM
SGLang
llmd

Job description

Intel Corporation in the United States seeks a Senior AI Developer Advocate for rack scale to own reference applications and Day0 enablement for the AI software stack on data center platforms, with a focus on Crescent Island.

You will build demos, blueprints, and workshop repositories across Kubernetes, multinode serving (vLLM, SGLang, llmd), and AI-optimized fabric, translating designs into runnable artifacts for evaluators to reproduce.

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