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HP

Director – Agentic AI Computing

HP

. Lead the engineering organization building the shared backbone for executable agentic AI on HP PCs and edge devices .

Posted 10/28/2026full-timeUnited StatesLead💰 $182,750 - $320,250 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in systems architecture, heterogeneous compute, and on-device inference, with a strong focus on delivering production capabilities for AI systems integrated into PCs and edge devices. Proven leadership in managing technical teams and driving platform capabilities across APIs, security, and hardware interfaces.

Highest-signal resume keywords
Systems Architecture ExperienceHeterogeneous Compute ExpertiseAI Engineering LeadershipRuntime Reliability ManagementAgile Development Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
API CompatibilityOn-Device InferencePerformance ProfilingConcurrency ManagementSecure Lifecycle ManagementModel IntegrationTool PermissionsObservabilityDevice ServicesField Behavior Responsibility
Soft Skills
Team LeadershipCollaborationTechnical Talent Development
Tools & Technologies
Windows Device PlatformsLinux EnvironmentsFirmware InterfacesSilicon SDKsHardware-in-the-Loop Testing
Industry Keywords
Agentic AIGenerative AIEmbedded SystemsDevice-Platform EngineeringProtocol Interoperability

Tech Stack

Tools & technologies
CloudLinux

About the role

Key responsibilities & impact
  • Lead the engineering organization building the shared backbone for executable agentic AI on HP PCs and edge devices
  • Own platform capabilities spanning APIs, security, hardware interfaces, data access, and policy frameworks
  • Set the foundation roadmap for context, identity, capability discovery, orchestration, and manageability
  • Define stable APIs and versioned contracts reusable across multiple experiences
  • Lead collaboration across runtime, OS services, drivers, firmware, and hardware interfaces
  • Establish lifecycle behavior for startup, sleep and resume, connectivity changes, updates, and recovery
  • Guide inference and workload placement across CPU, GPU, NPU, and cloud resources
  • Set performance budgets for latency, memory, power, and thermals with hardware and silicon partners
  • Provide trusted identity, permission boundaries, policy enforcement, protected data access, and auditable agent actions
  • Support safe tool invocation, user control, and enterprise endpoint management
  • Partner with Vali’s team and other engineering stakeholders to make features executable
  • Integrate capabilities from internal teams and industry protocols through tested adapters and contracts
  • Commit Foundation engineers to agile squads from discovery through adoption
  • Deliver reusable increments, compatibility tests, telemetry, and reliability improvements
  • Build a global systems and AI engineering leadership team
  • Own platform investment, technical talent development, capacity, and technical debt

Requirements

What you’ll need
  • Typically 15 or more years in systems, embedded, device-platform, or AI engineering
  • At least 7 years leading teams
  • Experience managing managers and senior architects
  • Record of delivering production capabilities integrated into PCs or comparable edge devices
  • Responsibility for runtime reliability, OS or hardware interfaces, and field behavior
  • Deep understanding of heterogeneous compute and on-device inference, including CPU, GPU, NPU, memory hierarchy, performance profiling, and power or thermal constraints
  • Strong systems architecture experience involving 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
  • Ability to lead global technical organizations and partner engineering
  • Degree in computer science, electrical or computer engineering, or a related discipline, or equivalent relevant experience
  • Preferred: Windows device platforms, supported Linux or embedded environments, firmware interfaces, silicon SDKs, and hardware-in-the-loop testing
  • Preferred: model compression, quantization, inference acceleration, local context stores, and policy-based placement across device and cloud
  • Preferred: OEM or ODM development, enterprise manageability, protocol interoperability, and platform adoption by internal developers or ISVs

Benefits

Comp & perks
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave