Distinguished Technologist, Edge AI Architect
Job Location:
Palo Alto, CA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Description -
Job Summary
The next era of AI will be built local more secure more mobile and closer to the work. HP is leading the way in Edge AI. This role provides senior technical leadership and end-to-end architectural oversight of a full-stack Edge AI platform spanning from silicon and systems hardware at the foundation through model management and lifecycle governance at the top. As the highest-level individual technical authority for the platform the role sets and owns the technical direction across every layer of the stack hardware enablement the security and OS trust foundation inference serving agentic runtimes and creation tooling fleet management and model management ensuring the platform behaves as one coherent secure and performant system rather than a collection of independent components.
The role evaluates and introduces technologies defines cross-layer architecture and interface contracts and establishes the engineering standards and best practices that optimize development. Working closely with product managers engineering leaders firmware and hardware teams security quality assurance and business stakeholders the role gathers requirements defines architectural scope and drives alignment throughout the full development lifecycle from on-device silicon enablement to model lifecycle governance and edge-to-cloud orchestration.
Responsibilities
Own the multi-year technical roadmap and architectural vision for a full-stack Edge AI platform with a strong focus on orchestrating LLMs vLMs and agent-based systems across constrained on-device and clustered environments.
Define the cross-layer architecture and the interface contracts that connect hardware OS/security inference agentic runtime and model-management layers so the platform operates as a single coherent and upgradeable system.
Architect model management registry and lifecycle systems governing versioning signing evaluation promotion provenance and rollback of models across a distributed fleet.
Set the architecture for agentic AI runtimes and agent-creation tooling defining how agents are built sandboxed permissioned tool-integrated governed and safely operated in production.
Drive the inference-serving strategy model serving inference gateways and model/request routing optimized for throughput latency and cost across heterogeneous silicon.
Architect the control plane end-to-end telemetry and cost-management frameworks that make on-device and clustered deployments deployable observable and manageable at scale.
Own the security architecture hardware-rooted chain of trust secure boot workload isolation and sandboxing ensuring safe execution of agentic workloads.
Partner deeply with silicon firmware and hardware teams to exploit modern compute platforms and build abstraction layers that let AI workloads deploy across diverse silicon without rewrites.
Architect seamless edge-to-cloud handoff frameworks optimized for cost latency privacy and performance and define when and how workloads run on-device at the cluster or in the cloud.
Enable multi-modal AI experiences integrating vision audio and text inputs from the runtime through to model management.
Design scalable on-device lifecycle management frameworks including deployment observability updateability and manageability that hold up across a distributed fleet.
Drive cross-functional influence bringing together experts across software firmware hardware security and business teams to converge on a unified platform architecture.
Communicate technology strategy and the multi-year roadmap to executive leadership industry partners and customers translating deep technical direction into business impact.
Serve as a trusted technical advisor and the enterprises top design authority for Edge AI influencing enterprise-level decision-making through combined technical and business expertise.
Provide architectural guidance consultation and design-review authority across all layers applications and platforms resolving cross-layer trade-offs and setting engineering standards.
Assess emerging technologies develop business cases and shape the platform portfolio in partnership with architects product leaders and operations.
Ensure effective enablement and training for engineering services support and sales teams.
Mentor and develop emerging technical leaders and architects fostering a culture of innovation and engineering excellence.
Education & Experience Recommended
Four-year or Graduate Degree in Computer Science Information Technology Software Engineering or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 12 years of work experience preferably in software designing & development software architecture programming languages or a related field.
Demonstrated experience architecting across multiple layers of a modern AI stack from hardware/OS enablement and inference serving to agentic runtimes and model lifecycle is strongly preferred.
Preferred Certifications
Programming Language Certification (Python C Rust Java or similar).
Cloud or platform architecture certification (AWS Azure or CNCF/Kubernetes) is a plus.
Knowledge & Skills
LLM vLM and multi-modal model architecture and orchestration
Agentic AI systems and runtimes (agent harnesses tool use sandboxing governance)
Inference serving and optimization (model serving inference gateways model/request routing)
Edge AI and edge-to-cloud architecture (latency cost privacy on-device constraints)
Model management registry lifecycle versioning and provenance
GPU/accelerator computing and heterogeneous silicon (CUDA and related)
Hardware/software co-design and silicon abstraction layers
Security foundations: chain of trust secure boot isolation sandboxing and confidential computing
Fleet management control planes observability and telemetry
Distributed systems and scalability
Kubernetes Docker and containerized/microservices architecture
Python C Rust (systems-level and ML tooling)
MLOps / LLMOps and CI/CD for models and agents
Cloud platforms (AWS Microsoft Azure) and hybrid deployment
Cost latency and performance optimization at scale
DevOps and automation
Software engineering and full-stack development
APIs and interface/contract design across layers
Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Impact & Scope
Serves as the top technical authority for the Edge AI platform; sets long-term strategic and architectural direction across the full stack and influences multiple functions and disciplines across the organization.
Complexity
Invents develops and introduces new methods and techniques that impact multiple disciplines and work groups.
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.
The pay range for this role is$174050to$278450USD 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)
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 -
SoftwareSchedule -
Full timeShift -
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 HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal
Required Experience:
Staff IC
