Drimva

HP

VP - PS Agentic AI PC Architecture & Development

$300K–$350K

Palo Alto, California, United States of America +1 · Director · Full-time · Posted Oct 29, 2026

Location
Palo Alto, California, United States of America
Spring, Texas, United States of America
Experience
10+ years in systems engineering and 8+ years leading large (100+), globally distributed, matrixed engineering organizations.
Education
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field preferred; an advanced degree such as an MS or MBA is a plus.

About the job

Leads HP’s global engineering organization to architect, develop, integrate, validate, release, and sustain agentic AI PC systems and shared platform capabilities.

What you'll do

  • Own engineering plans, product delivery, and release readiness from requirements through production and sustaining.
  • Define shared architecture, technical roadmaps, interfaces, and system-level trade-offs across four agentic AI solution areas.
  • Build and lead the engineering organization, manage budgets and capacity, and coordinate with HP teams and external partners.

What they ask for

  • 10+ years in systems engineering spanning hardware, firmware, silicon, memory, OS/runtime, and software, with a record of shipping platform-level systems.
  • 8+ years leading large (100+), globally distributed, matrixed engineering organizations.
  • Experience delivering complex products end to end and taking AI or Agentic AI systems from concept to production with measurable customer and revenue or margin impact.
  • Experience with server, data-center, or distributed/edge infrastructure; reusable platforms; senior-level co-engineering with platform, silicon, and software partners; and working knowledge of identity, isolation, trust, and enterprise manageability.

Nice to have

  • Practical experience with LLM inference, AI runtimes, agent frameworks, and coding in client and server environments.
  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field; an advanced degree such as an MS or MBA is a plus.

Pay

$300,000 to $350,000 USD annually (base salary)

Tools

CPU/GPU/NPU, OS/runtime, LLM inference, AI runtimes, agent frameworks, Zero Trust, TPM/Secure Boot

AI focus

Leads development and production delivery of agentic AI PC systems, including workload orchestration across PC, edge, and cloud; context and device coordination; trusted agent execution; and distributed task handoff. The role also covers AI evaluation and AI-enabled development.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 4, 2026 (UTC)