HP
Director - Agentic AI Computing Foundation
$183K–$320K
Spring, Texas, United States of America +1 · Director · Full-time · Posted Oct 28, 2026
- Location
- Spring, Texas, United States of America
Palo Alto, California, United States of America - Experience
- Typically 15 or more years in systems, embedded, device-platform, or AI engineering, including at least 7 years leading teams; experience managing managers and senior architects.
- Education
- Degree in computer science, electrical or computer engineering, or a related discipline, or equivalent relevant experience.
About the job
Leads the engineering organization building a shared agentic AI platform for HP PCs and edge devices, covering architecture, device integration, execution, security, and enablement.
What you'll do
- Set platform roadmap and define reusable APIs and versioned technical contracts.
- Lead integration across runtime, OS services, drivers, firmware, hardware, and compute resources.
- Build and lead the global engineering organization, partnerships, and platform investment.
What they ask for
- Production engineering capabilities integrated into PCs or comparable edge devices, including runtime reliability and OS or hardware interfaces.
- Deep understanding of heterogeneous compute and on-device inference, including CPU, GPU, NPU, memory, performance, power, and thermal constraints.
- Strong systems architecture experience, including native software, concurrency, interprocess communication, API compatibility, device services, and secure lifecycle management.
- Practical experience enabling agentic or generative AI systems, including orchestration, tool permissions, model/runtime integration, observability, and evaluation.
Nice to have
- Depth in Windows device platforms and familiarity with Linux or embedded environments, firmware interfaces, silicon SDKs, and hardware-in-the-loop testing.
- Experience with model compression, quantization, inference acceleration, local context stores, or OEM/ODM development.
Pay
$182,750.00 to $320,250.00 USD annually (base salary)
Tools
CPU, GPU, NPU, Windows, Linux
AI focus
Builds shared agentic AI capabilities for PCs and edge devices, including orchestration, tool permissions, model/runtime integration, on-device inference, and workload placement across device and cloud.
Model-written summary · the original posting is authoritative