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Senior AI Developer Relations Advocate
Intel Corporation. Own the rackscale reference applications and Day0 enablement for the AI software stack on data center platforms, with a focus on Crescent Island .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Kubernetes deployment and management, particularly in production environments, along with strong Python engineering skills for AI software stacks. Proven ability to create reproducible artifacts from reference designs and effectively communicate with technical audiences.
Highest-signal resume keywords
Kubernetes Production ExperienceMultinode Inference ServingAI-Optimized Fabric KnowledgeDeveloper Relations ExperiencePython Engineering Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesPythonMultinode Workload DeploymentDistributed Inference ServingReference Application DevelopmentCI/CD DeploymentRackscale TopologiesAccelerator SchedulingCollective CommunicationOpen Source Contributions
Soft Skills
Excellent Written CommunicationExcellent Verbal CommunicationFeedback Translation
Industry Keywords
AI Software StackDeveloper AdvocacyWorkshopsLivecoding SessionsCrescent Island
Tech Stack
Tools & technologiesKubernetesOpen SourcePython
About the role
Key responsibilities & impact- 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 AI-optimized fabric
- Translate rackscale reference designs into runnable artifacts so evaluators can reproduce results themselves
- Deploy and test reference applications from a clean cluster in CI so they are reproducible as libraries, models, and topologies change
- Deliver Day0 enablement for new platforms so developers can start when hardware is available
- Lead flagship workshops, hackathons, and livecoding sessions at developer events and customer sites
- Engage upstream in dependent repositories, contributing fixes and enablement for Intel rack scale
- Convert developer and evaluator feedback into fixes in reference applications, documentation, and the product
Requirements
What you’ll need- 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; 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
- 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
Comp & perks- Competitive pay
- Stock bonuses
- Health benefits
- Retirement benefits
- Vacation benefits
- Hybrid work model allowing employees to split time between working on-site at their assigned Intel site and off-site