Senior Artificial Intelligence Developer Relations Advocate - Rack Scale job at Intel in Phoenix, AZ, Santa Clara, CA, Hillsboro, OR

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

Job summary

Intel is seeking a Senior AI Developer Relations Advocate for rack scale in Phoenix, AZ, to own reference applications and Day0 enablement for the AI software stack on data center platforms. You will build demos, runbooks, and workshops that demonstrate scalable AI workloads.

You will work across Kubernetes and multinode serving with vLLM, SGLang, and llmd, contribute to upstream repositories, lead workshops, and translate feedback into improvements while engaging developers at events and

Qualifications

• Bachelors degree with 4 years of related experience or equivalent practical experience.
• Hands-on experience running Kubernetes in production environments.
• Experience with multinode and distributed inference serving (vLLM, SGLang, llmd).
• Knowledge of AI-optimized fabric and rackscale topologies.
• Track record publishing reference apps or samples with open source contributions.
• Background in Developer Relations, Advocacy, or related roles.

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, runnable rack scale workloads.
• Develop on Kubernetes across multinode serving including vLLM, SGLang, llmd and AI-optimized fabric.
• Translate designs into runnable artifacts so evaluators can reproduce results.
• Deploy and test reference apps from a clean CI cluster to ensure first-run success and reproducibility.
• Deliver Day0 enablement for new platforms so developers can start when hardware is available.
• Lead flagship workshops, hackathons, and livecoding sessions at events and customer sites.
• Engage upstream in repositories, contributing fixes and enablement for Intel rack scale.
• Turn developer feedback into fixes in reference apps, docs, and product.

Skills

Kubernetes in prod

Multinode inference

vLLM

SGLang

llmd

Open source contributions

Developer relations

Public speaking

Education

Bachelor's degree or equivalent

Job description

Title

Senior AI Developer Relations Advocate - Rack Scale

Locations

• US, Arizona, Phoenix
• US, California, Santa Clara
• US, Oregon, Hillsboro

Time Type

Full time

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.

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.

Salary Range

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 the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

Equal Opportunity 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.

Additional Information

Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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

Position of Trust

N/A