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Edge Ai Jobs (NOW HIRING)

Ambarella

$230K - $265K/yr

AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Job Title: Edge AI Silicon Product Marketing Director ...

ARM

Senior Product Manager, Edge AI CPU

Austin, TX · On-site

$125K - $165K/yr

Arm is enabling the next generation of Edge AI by combining industry-leading compute platforms with optimized implementation technologies that accelerate customer innovation. As AI workloads continue ...

ARM

Senior Product Manager, Edge AI CPU

Austin, TX · On-site

$125K - $165K/yr

Arm is enabling the next generation of Edge AI by combining industry-leading compute platforms with optimized implementation technologies that accelerate customer innovation. As AI workloads continue ...

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How much do edge ai jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for edge ai in the United States is $20.30, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $24.04 per hour, depending on experience, location, and employer.

What is the difference between Edge Ai vs Data Scientist?

AspectEdge Ai
Required CredentialsTypically a degree in computer science, electrical engineering, or related fields; certifications in AI or machine learning are common
Work EnvironmentPrimarily involves working with embedded systems, IoT devices, and hardware in diverse locations
Employer & Industry UsageUsed by tech companies, hardware manufacturers, and IoT solution providers focusing on real-time data processing
Common Search & Comparison IntentUnderstanding hardware-focused AI deployment and real-time processing capabilities

Edge Ai specialists focus on deploying AI models directly on hardware devices at the edge, emphasizing real-time processing and hardware integration. Data Scientists, however, primarily analyze data, develop models, and work in cloud or server environments. While both roles involve AI and machine learning, Edge Ai is more hardware-centric, whereas Data Scientists focus on data analysis and model development in software environments.

What is edge AI and how does it work?

Edge AI refers to deploying artificial intelligence algorithms directly on devices at the edge of the network, such as sensors or smartphones, rather than relying on centralized cloud servers. It processes data locally, enabling faster response times, reduced bandwidth use, and improved privacy. Professionals working with edge AI often need skills in embedded systems, machine learning, and hardware integration.
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Infographic showing various Edge Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $42,216 per year, or $20.3 per hour.

Distinguished Technologist, Edge AI Architect

Palo Alto, CA • On-site

Hp
IT Services • 10K+ employees
Learn more about Hpexternal

Full-time

Medical, Dental, Vision, Life, PTO

Posted 23 days ago

HP rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

71st of 162 rated electronics manufacturers

Job description

Distinguished Technologist, Edge AI Architect

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 enterprise's 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$174,050to$278,450USD 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 -

Software

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'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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About HP

Sourced by ZipRecruiter

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Palo Alto, CA, US

Year founded

1939

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