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