Qualcomm
AI Engineering Operations Analyst
$110K–$166K
San Diego, California · On-site · Full-time · Posted Sep 17, 2026
- Experience
- No specific years required for general experience. Education alternatives include an Associate's degree and 2+ years of relevant work experience, or a High School Diploma or equivalent and 4+ years of relevant work experience.
- Education
- Bachelor's degree in Business, Engineering, Science, or related field; or Associate's degree and 2+ years of relevant work experience; or High School Diploma or equivalent and 4+ years of relevant work experience.
About the job
Supports planning, coordination, and operational execution of Data Center AI initiatives, including AI demonstrations, reporting, and repeatable AI-enabled processes.
What you'll do
- Track project plans, milestones, risks, deliverables, and action items; consolidate status reports into leadership-ready materials.
- Coordinate AI demos and maintain demo materials and a versioned, governed AI Agent “Skills & Prompts” library.
- Develop lightweight automation, dashboards, and reporting processes; monitor outcomes and improve workflows and agents.
What they ask for
- Experience in program analysis, operations, process improvement, project coordination, or technical program support.
- Strong interest in AI and technology, with ability to understand and follow technical discussions.
- Strong organizational skills, attention to detail, and follow-through.
- Strong written, verbal, and visual communication skills, including expertise creating professional PowerPoint presentations and executive-ready slide decks.
Nice to have
- Practical experience prototyping AI solutions and demos or building/managing AI-enabled workflows.
- Background in AI software development, HW engineering, or technical operations; experience with program management tools and methodologies.
Pay
$110,400.00 - $165,600.00 (base salary)
Tools
PowerPoint, AI Agent “Skills & Prompts” library, dashboards, trackers, structured repositories
AI focus
Supports AI initiatives, demos, AI-enabled workflows, and the design and scaling of operational processes using AI tools and AI agents as digital teammates; iterates agents based on performance and user feedback.
Model-written summary · the original posting is authoritative