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. Qualifications: 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. Apply today to be part of a team driving the next wave of intelligent technology solutions. 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. Position of Trust N/A 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 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 for this Role 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. * 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.

Requirements

Must-haves

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.
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.
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.

Nice-to-haves

Track record of publishing reference applications or samples that other developers run, with visible open source contributions preferred.
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. Apply today to be part of a team driving the next wave of intelligent technology solutions.
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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetespython

Platform: workday
Effort: long