[Agentic AI] AI Systems & Edge Runtime Software Engineering

[Agentic AI] AI Systems & Edge Runtime Software Engineering

Description -Build What's Next in Agentic AI and Intelligent Computing at HP

At HP, we're bringing together engineers, architects, software experts, and technology leaders to help shape the future of intelligent, secure, and high-performance computing.

We're building a new Agentic AI team in Taipei focused on next-generation AI PC platforms, intelligent runtime systems, advanced platform software, and AI-powered experiences. This growing team will work across AI systems, operating systems, firmware, platform architecture, software engineering, data intelligence, quality engineering, and user experience.

We're looking for people who want to solve complex problems, push what's possible, and help build the technologies that will define the next generation of AI-powered experiences. Whether your expertise is in AI systems, platform software, operating systems, firmware, technical program leadership, quality engineering, data science, or product experience, you'll have the opportunity to work on technologies that influence future products, customer experiences, and platform innovation.

If you're working at the intersection of AI, hardware, software, architecture, data, or intelligent systems, we'd love to hear from you.

Explore opportunities and join us in building what's next at HP.

For AI Systems & Edge Runtime Software Engineering talents, you will build intelligent AI systems, agentic runtimes, and next-generation AI platform capabilities for AI PCs and edge computing.

Potential Opportunities

Qualified candidates may be considered for roles including:

• Senior AI Systems Engineer
• Senior AI Systems Engineer, Workload Placement & Resource Optimization
• AI Model & Orchestration Engineer
• Senior Agentic AI Platform Engineer
• Context Intelligence Engineer
• Concepts Software Engineer

Areas You May Work On

• Agentic AI & Multi-Agent Systems
• AI Runtime Platforms
• Edge AI & AI PC Technologies
• Workload Placement & Optimization
• Memory & Context Management
• LLM Inference Systems
• RAG & Retrieval Systems
• AI Model Orchestration
• AI Platform Enablement
• AI Performance & Telemetry

Minimum Qualifications

• Bachelor's, Master's, or equivalent degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Artificial Intelligence, Data Science, or related fields.
• Typically 8+ years of software engineering, AI engineering, platform engineering, systems engineering, or related experience.