Senior AI Developer Relations Advocate - Rack Scale

Intel Corporation; Phoenix (AZ); On-site; USD 171,000 - 315,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Vacation

Job summary

Intel Corporation in the United States is seeking a Senior AI Developer Advocate for rack-scale AI platforms. You will own reference applications and Day0 enablement, building demos, blueprints, and workshops that developers and enterprise evaluators can fork and run at rack scale.

The role requires hands-on experience with Kubernetes in production, multinode inference (vLLM/SGLang/llmd), and strong communication to educate developers at events and in upstream communities.

Qualifications

• Bachelor's degree with 4 years of experience in Computer Science or related field, or equivalent practical experience.
• Hands-on experience running Kubernetes in production including accelerator scheduling, networking, and multinode deployment.
• Experience with multinode and distributed inference serving (vLLM, SGLang, llmd).
• Knowledge of AI-optimized fabric and rackscale topologies, including interconnect and collective communication.
• Track record publishing reference applications or samples with open source contributions preferred.
• Experience in Developer Relations/Advocacy, leading workshops or livecoding sessions.

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 for forkable, reproducible rackscale artifacts.
• Develop on Kubernetes and multinode serving with vLLM, SGLang, and llmd, plus AI-optimized fabric.
• Translate designs into runnable artifacts so evaluators can reproduce results themselves.
• Deploy and test reference applications from a clean cluster in CI to ensure repeatability.
• Lead flagship workshops, hackathons, and livecoding sessions at events and customer sites.
• Engage upstream, contribute fixes, and enable Intel rackscale references.
• Convert developer feedback into fixes in reference apps, docs, and product.

Skills

Kubernetes in production

Python engineering

Distributed inference

Open source contributions

Education

Bachelor's degree in CS/CE or related field

Tools

vLLM

SGLang

llmd

Job description

Job Details

Job Description

Intel is transforming to meet the demands of a rapidly changing world. We design and deliver industryleading technology that powers data centers, enables AI, and drives the future of computing. Join a team building the software and platforms developers use to deliver performance at scale.

The Senior AI Developer Advocate for rack scale serves as the primary owner of the reference applications and Day0 enablement that prove Intel's rackscale AI platforms.

This role builds demos, blueprints, and workshop repositories across Kubernetes, multinode serving, including vLLM, SGLang, and llmd, and AIoptimized fabric. The role treats every reference application as a product. Each one is forkable, pinned and reproducible, deployed and tested from a clean cluster, and documented so an enterprise evaluator can run it without help.

The role leads flagship workshops, meets developers where they already work at events and in upstream repositories, and translates rackscale reference designs into artifacts evaluators can run themselves. Strong hands on engineering across Kubernetes and distributed inference, credibility in upstream communities, and the ability to teach and present to developers live are essential.

Responsibilities

• Own the rackscale reference applications and Day0 enablement for the AI software stack on data center platforms, with a focus on Crescent Island.
• Build demos, blueprints, and workshop repositories that developers and enterprise evaluators can fork and run at rack scale.
• Build on Kubernetes, multinode serving, including vLLM, SGLang, and llmd, and AIoptimized fabric.
• Translate rackscale reference designs into runnable artifacts, so evaluators reproduce the results themselves instead of taking them on faith.
• Deploy and test reference applications from a clean cluster in CI so they come up on a first attempt and stay reproducible as libraries, models, and topologies change.
• Deliver Day0 enablement for new platforms so developers can start on the day the hardware is available.
• Lead flagship workshops, hackathons, and livecoding sessions at developer events and customer sites.
• Engage upstream in the repositories the reference applications depend on, contributing fixes and enablement for Intel rack scale.
• Convert what developers and evaluators hit into fixes in the reference applications, the documentation, and the product.

Minimum Qualifications

• Bachelor's degree with 4 years of experience in Computer Science, Computer Engineering, or a related field or equivalent practical experience.
• Strong hands on experience running Kubernetes in production, including accelerator scheduling, networking, and multinode workload deployment.
• Experience with multinode and distributed inference serving, such as vLLM, SGLang, or llmd.
• Working knowledge of AI optimized fabric and rackscale topologies, including interconnect behavior and collective communication.
• Track record of publishing reference applications or samples that other developers run, with visible open source contributions preferred.
• Prior experience in Developer Relations, Developer Advocacy, or a similar role, including leading workshops or livecoding sessions for developer audiences.

Preferred Qualifications

• Excellent written and verbal communication with technical audiences, including enterprise evaluators.
• Ability to translate developer and evaluator feedback into reference applications, documentation, and product improvements.
• Experience turning reference designs or reference architectures into reproducible artifacts that others deploy successfully.
• Strong hands on Python engineering with the AI software stack.

We invite you to bring your passion for AI and innovation to Intel.

Job Type: Experienced Hire

Shift: Shift 1 (United States of America)

Primary Location: US, Arizona, Phoenix

Additional Locations: US, California, Santa Clara, US, Oregon, Hillsboro

Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $170,500.00-315,490.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for