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About the Role
Our organization is shaping the future of AI at HP by delivering intelligent, agentic experiences that are deeply integrated into HP PCs and edge devices. This leadership role is responsible for driving the engineering organization that transforms strategic AI concepts into scalable, production-ready solutions. Success requires strong technical leadership, operational excellence, and a passion for bringing next-generation AI innovations to market.
Responsibilities
- Translate PO priorities into executable engineering plans.
- Lead squads from prototypes to production increments, with clear ownership of implementation, dependencies, and delivery commitments.
- Build context-aware workflows, tool integrations, planning and execution logic, and local or hybrid inference.
- Design for bounded actions, human oversight, interruption, and recovery.
- Integrate features with Foundation APIs, OS services, hardware capabilities, and device management.
- Address startup, sleep and resume, offline operation, updates, and failure conditions on target devices.
- Establish scenario-based agent evaluations and automated tests on representative hardware.
- Measure task success, latency, memory, battery impact, security behavior, and cross-device continuity.
- Own integration readiness, release evidence, rollout sequencing, rollback plans, and field issue resolution.
- Coordinate compatibility across device variants, OS versions, and external components.
- Build continuously with PO and Foundation around a shared backlog and sprint goal.
- Surface risks early, drive recovery actions, and use demonstrations and adoption evidence to improve delivery.
- Hire and grow engineering managers and technical leaders across sites.
- Own staffing, development investment, engineering effectiveness, and executive escalation of delivery risks.
Requirements
- Typically 15 or more years in software, systems, or AI engineering, including at least 7 years of leadership and experience managing managers across multiple engineering teams.
- Demonstrated delivery of shipped AI-enabled PCs, connected devices, or embedded products, with accountability for device integration, release quality, and post-launch reliability.
- Practical engineering depth in agentic or generative AI applications, including tool calling, context handling, local or hybrid inference, and systematic evaluation of AI behavior.
- Experience integrating native applications or services with OS and device interfaces, and diagnosing performance or reliability issues across software and hardware boundaries.
- Experience with automated integration, hardware-based validation, staged releases, rollback, and field telemetry; ability to balance task quality with latency, memory, power, and privacy.
- Strong global people and delivery leadership, technical judgment, and executive communication.
- Degree in computer science, electrical or computer engineering, or a related field, or equivalent relevant experience.
- Experience developing for Windows PCs, multiple processor architectures, or device portfolios with differing CPU, GPU, and NPU capabilities.
- Background in multimodal agents, cross-device workflows, enterprise endpoint software, or production integration of third-party AI capabilities.
- Experience working with OEM, ODM, silicon, OS, or ISV partners and using AI-assisted engineering with human review and quality controls.
Skills
- Agentic AI
- Generative AI
- Tool calling
- Context handling
- Local inference
- Hybrid inference
- AI behavior evaluation
- OS integration
- Device integration
- Automated integration
- Hardware validation
- Staged releases
- Rollback strategies
- Field telemetry
- Performance optimization
- Reliability engineering
- People leadership
- Delivery leadership
- Technical judgment
- Executive communication
- Windows PC development
- Multiprocessor architecture development
- Device portfolio management
- Multimodal agents
- Cross-device workflows
- Enterprise endpoint software
- Third-party AI integration
- Partner collaboration (OEM, ODM, silicon, OS, ISV)
- AI-assisted engineering
- Human review
- Quality control
Location
- Houston, TX
- Austin, TX
- Taipei City, Taiwan
Work Type
- Full time
Experience Level
- 15+ years in software, systems, or AI engineering
- 7+ years of leadership managing managers
Education Level
- Degree in computer science, electrical or computer engineering, or a related field, or equivalent relevant experience
Salary/Compensations
- $182,750.00 - $278,450.00 USD annually
- Additional opportunities for pay in the form of bonus and/or equity (US candidates only)
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave
About the Company
- 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).
Equal Opportunity
- 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"