below marketmost similar roles pay hereabove market
This role pays more than
59%
of similar roles. Most pay
$196,413–$278,000
— the blue band above.
At the midpoint, this role pays about
$252k
versus about
$237k
for comparable roles.
Based on 240 similar postings.
Employer
About HP Inc.
HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.
HP Inc. currently has
129 open roles
on FindRole.
Listed pay typically runs
$130,700–$205,200
across 103 roles with salary data.
The Director - Agentic AI Computing Foundation leads the engineering organization responsible for building the shared backbone for executable agentic AI on HP PCs and edge devices. This role involves owning platform capabilities across APIs, security, hardware interfaces, data access, and policy frameworks to ensure agentic features are portable and reliable. Key responsibilities include defining platform architecture, managing device integration across OS services and firmware, and optimizing execution efficiency for CPU, GPU, and NPU resources. The position requires expertise in heterogeneous compute, on-device inference, model compression, quantization, and secure lifecycle management. Candidates must demonstrate proficiency in systems architecture, concurrency, and interprocess communication while managing global technical teams to deliver production capabilities that solve complex problems regarding runtime reliability, power constraints, and enterprise endpoint management.
Agentic AI
LLM Inference
AI Runtimes
Systems Engineering
Firmware
Silicon
CPU
GPU
NPU
OS
Zero Trust
TPM
Secure Boot
SDKs
Telemetry
Hardware-Rooted Trust
Systems Architecture
Silicon
Operating Systems
AI Platforms
Firmware
Edge Computing
System Software
Memory
Storage
GPU
NPU
Security
Manageability
Hardware Platforms
AI Runtimes
Multi-platform Architectures
LLMs
Agent Frameworks
RAG
Vector Databases
Python
Machine Learning
Deep Learning
APIs
Cloud-native Development
Prompt Engineering
Observability
Data Science
Statistical Analysis
Time Series Analysis
Data Governance