ZipRecruiter

Log In

1

Edge Ai Jobs (NOW HIRING)

Ambarella

$265K - $300K/yr

AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Ambarella is a leading fabless semiconductor company ...

Mosaic.tech

Software Engineer, Edge AI

Washington, DC · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

What You'll Do ML/AI Deployment * Deploy machine learning models on hardware-constrained devices * Evaluate current Open Source models and customize them to Reflex specific needs, optimizing ...

Advantech

Product Manager I, Key Project Edge AI PSM

Tustin, CA · On-site

$85K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Product Manager I, Key Project Edge AI Location(s): Tustin, CA - Onsite Compensation: $85,000 - $95,000 About this position: Advantech is seeking a dynamic and strategic Product Manager to lead the ...

Samsara

Staff Machine Learning Engineer - Edge AI

Lead design and implementation of critical AI product initiatives on Edge devices. * Develop both tactical AI solutions as well as more strategic and longer term research. * Work with petabyte-scale ...

Advantech USA

Product Manager I, Key Project Edge AI PSM

Tustin, CA · On-site +1

$80K - $90K/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Product Manager I, Key Project Edge AI Location(s): Tustin, CA - Onsite Compensation: $85,000 - $95,000 About this position: Advantech is seeking a dynamic and strategic Product Manager to lead the ...

Valinor

Software Engineer, Edge AI

Washington, DC · On-site

Job Summary : Valinor is a new type of defense and government tech company focused on solving unaddressed problems. They are seeking a Software Engineer to join their team, working on computer vision ...

Qualcomm

#Software Engineer - Edge AI/Gen AI

San Diego, CA · On-site

$94 - $141/hr

As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge ...

OnLogic

Product Manager, Edge AI Compute

Cary, NC · On-site

  • Retirement

You are solutions-oriented and on the cutting edge of what our customers need before the market has yet realized the potential. You're an experienced Product Manager looking to make an impact on a ...

Samsara

Staff Machine Learning Engineer - Edge AI

Lead design and implementation of critical AI product initiatives on Edge devices. * Develop both tactical AI solutions as well as more strategic and longer term research. * Work with petabyte-scale ...

previous page

Showing results 41-60

All JobsTechnology JobsEdge Ai Jobs

Edge Ai information

See salary details

$5

$20

$33

How much do edge ai jobs pay per hour?

As of Aug 19, 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.
More about Edge Ai jobs

What cities are hiring for Edge Ai jobs?

Cities with the most Edge Ai job openings:

What states have the most Edge Ai jobs?

States with the most job openings for Edge Ai jobs include:

What job categories do people searching Edge Ai jobs look for?

The top searched job categories for Edge Ai jobs are:

Edge Ai jobs near you
Infographic showing various Edge Ai job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 76% In-person, 12% Hybrid, and 12% Remote job distribution, with an average salary of $42,216 per year, or $20.3 per hour.

Software Developer - Physical & Edge AI Platforms

ARM

Seattle, WA

$209K - $282K/yr

Full-time

Re-posted 14 days ago

Job description

We seek a Software Engineer to contribute to the next generation of Physical and Edge AI platforms on Arm. Your work will focus on building foundational software for AI tasks such as vision, robotics, speech, and intelligence based on sensor input. This software enables AI workloads to be deployed, managed, and used optimally on the device, independent of cloud services.  

You will focus on building platform-level services, developer tooling, and runtime infrastructure that boost developer efficiency and make advanced AI capabilities accessible through clean, stable abstractions. This is a high-impact role working on systems that sit at the intersection of distributed systems, edge computing, and AI infrastructure. 

Key Responsibilities :

Platform & systems development 

  • Build and implement reliable, scalable system services for edge and physical AI workloads. 

  • Develop runtime infrastructure that enables deployment, lifecycle management, and updates of AI-powered components on-device. 

  • Develop abstractions that decouple applications from underlying AI frameworks, models, and hardware accelerators. 

Developer experience & tooling 

  • Build APIs, SDKs, and developer tooling that streamline how engineers build and integrate AI-powered features. 

  • Improve end-to-end developer workflows, from local development to on-device deployment and updates. 

  • Build observability and diagnostics capabilities to help developers understand performance, failures, and system behavior. 

Performance, reliability, and scale 

  • Build software that performs reliably under edge constraints such as limited resources, real-time requirements, and heterogeneous hardware. 

  • Contribute to system-level performance optimization across CPUs and AI accelerators. 

  • Ensure systems are maintainable, testable, and robust in production environments. 

Multi-functional collaboration  

  • Work closely with architects, product managers, and AI engineers to build platform capabilities and developer-facing abstractions. 

  • Collaborate across teams to build clean APIs, service boundaries, and integration points. 

  • Contribute to reference implementations, documentation, and example workflows. 

Vital Skills and Experience  

  • Strong experience crafting and building systems software, platform services, or distributed systems in production. 

  • Proficiency in C/C++, Rust, Go, or Python (language choice depends on component). 

  • Solid understanding of: 

  • Linux-based systems 

  • Process isolation, IPC, and service lifecycles 

  • API build and versioning 

  • Experience building developer platforms, SDKs, or internal tooling. 

  • Strong fundamentals in algorithms, data structures, and performance optimization. 

  • Ability to work across multiple layers of the stack, from APIs down to system behavior. 

  • Excellent problem-solving, communication, and collaboration skills. 

Preferred Skills and Experience  

  • Experience with container technologies and modern packaging/deployment approaches. 

  • Familiarity with edge computing, embedded Linux, or real-time systems. 

  • Exposure to AI/ML inference systems, even from a platform or infrastructure perspective. 

  • Experience with heterogeneous computing (CPUs, GPUs, NPUs, DSPs). 

  • Background in robotics, vision systems, or physical AI applications. 

  • Contributions to open-source systems or developer tooling projects. 

  • Familiarity with security concepts such as secure boot, isolation, or attestation. 

Why this role matters 

Edge and physical AI systems impose outstanding requirements on software platforms. These platforms need to be secure, reliable, updatable, and easy for developers to use. They must also function within real-world limits not found in the cloud.  

This role involves guiding the development and deployment of AI on Arm-powered devices used in real-world scenarios. You will help build platforms that unlock new application categories in robotics, industrial systems, and consumer technology. It offers a chance to create a strong impact on the future of AI! 

Salary Range:$209,100-$282,900 per year

We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Employment Type: Established

Apply