Distinguished Technologist, Edge AI Architect

HP Inc.

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Palo Alto, CASpring, TX
Salary
$174,050–$278,450 / yr
Posted
25 days ago
Freshness
Confirmed live yesterday
Closes
Feb 13, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $234k
This role $226k
$160k most similar roles pay here $301k

This role pays less than 59% of similar roles. Most pay $195,750–$271,518 — the shaded band above. At the midpoint, this role pays about $226k versus about $234k for comparable roles.

Based on 240 similar postings.

Employer

About HP Inc.

HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.

HP Inc. currently has 104 open roles on FindRole.

Listed pay typically runs $130,700–$205,200 across 90 roles with salary data.

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View all roles at HP Inc.

At a glance

TL;DR · Distinguished Technologist, Edge AI Architect

Distinguished Technologist, Edge AI Architect serves as the primary technical authority for a full-stack Edge AI platform. This role provides architectural oversight across every layer of the stack, including silicon hardware enablement, OS trust foundations, inference serving, and agentic runtimes. The individual will define cross-layer architecture, manage model lifecycles, and design edge-to-cloud handoff frameworks to ensure a coherent system for LLMs, vLMs, and multi-modal experiences. Key responsibilities include establishing engineering standards, managing fleet telemetry, and ensuring secure execution through hardware-rooted chains of trust. The role requires expertise in Python, C++, Rust, Kubernetes, Docker, and CUDA. Candidates must navigate complex technical challenges involving heterogeneous silicon, inference gateways, and MLOps for distributed fleets. This position solves the problem of deploying performant, secure AI workloads across constrained on-device environments and clustered systems.

What you'll do

  • Own the multi-year technical roadmap and architectural vision for a full-stack Edge AI platform.
  • Define cross-layer architecture and interface contracts connecting hardware, OS, inference, and model management layers.
  • Architect model management systems to govern versioning, signing, evaluation, and lifecycle across distributed fleets.
  • Design agentic AI runtimes and creation tooling including sandboxing, permissioning, and tool integration.
  • Develop inference serving strategies optimized for throughput, latency, and cost across heterogeneous silicon.
  • Create control planes, telemetry frameworks, and cost management systems for large-scale deployments.
  • Establish security architectures including hardware-rooted trust, secure boot, and workload isolation.
  • Design edge-to-cloud handoff frameworks to balance performance, privacy, and cost across different environments.

What we're looking for

  • A four-year or graduate degree in Computer Science, Information Technology, Software Engineering, or a related field.
  • Typically 12+ years of experience in software design, development, architecture, or programming languages.
  • Experience architecting across the full AI stack including hardware/OS enablement, inference serving, and model lifecycle management (preferred).
  • Proficiency in LLM, vLM, multi-modal models, and agentic AI systems including sandboxing and governance.
  • Expertise in edge-to-cloud architecture, inference optimization, and heterogeneous silicon (CUDA) for diverse hardware platforms.
  • Knowledge of security foundations such as chain of trust, secure boot, and confidential computing.
  • Proficiency in Python, C++, or Rust and experience with MLOps/LLMOps, Kubernetes, and Docker.
  • Programming language certification (preferred); Cloud or platform architecture certification (preferred).

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