Director - Agentic AI Computing Foundation

Director - Agentic AI Computing Foundation

Description -

Role purpose

Lead the engineering organization that builds 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. Make agentic features portable, reliable, and efficient across supported device configurations while providing clear technical contracts to feature teams.

Our organization advances HP AI Roadmap through capabilities deeply integrated into HP PCs and edge devices.

Key responsibilities

• Platform architecture. Set the foundation roadmap for context, identity, capability discovery, orchestration, and manageability. Define stable APIs and versioned contracts that multiple experiences can reuse.

• Device integration. Lead collaboration across runtime, OS services, drivers, firmware, and hardware interfaces. Establish lifecycle behavior for startup, sleep and resume, connectivity changes, updates, and recovery.

• Execution efficiency. 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.

• Security and control. Provide trusted identity, permission boundaries, policy enforcement, protected data access, and auditable agent actions. Support safe tool invocation, user control, and enterprise endpoint management.

• Engineering partnerships. Work with Vali’s team and other engineering stakeholders to make features executable. Integrate capabilities from internal teams and relevant industry protocols through tested adapters and contracts.

• Continuous enablement. Commit Foundation engineers to agile squads from discovery through adoption. Deliver reusable increments, compatibility tests, telemetry, and reliability improvements alongside feature development.

• Organization leadership. Build a global systems and AI engineering leadership team. Own platform investment, technical talent development, capacity, and technical debt while balancing shared needs across Divisions.

Required qualifications

• Typically 15 or more years in systems, embedded, device-platform, or AI engineering, including at least 7 years leading teams and experience managing managers and senior architects.

• A record of delivering production capabilities integrated into PCs or comparable edge devices, including 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, with understanding of 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 experience

• Depth in Windows device platforms and familiarity with supported Linux or embedded environments, firmware interfaces, silicon SDKs, and hardware-in-the-loop testing.

• Experience with model compression, quantization, inference acceleration, local context stores, and policy-based placement across device and cloud.

• Experience with OEM or ODM development, enterprise manageability, protocol interoperability, and platform adoption by internal developers or ISVs.

Success measures

• Execution quality. Target-device latency, memory, energy use, and stability meet agreed platform budgets.

• Reuse and integration. Feature adoption of shared APIs, contract-test pass rates, and reduced integration lead time.

• Trust and reliability. Policy and security validation results, recovery behavior, and field incident trends.

• Delivery. Predictable platform commitments, fewer blocked feature dependencies, and sustained engineering capability.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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The pay range for this role is $182,750.00 to $320,250.00 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

• Health insurance

• Dental insurance

• Vision insurance

• Long term/short term disability insurance

• Employee assistance program

• Flexible spending account

• Life insurance

• Generous time off policies, including;

• 4-12 weeks fully paid parental leave based on tenure

• 11 paid holidays

• Additional flexible paid vacation and sick leave (US benefits overview

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The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job -

Engineering

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s   EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "