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Edge Ai Jobs (NOW HIRING)

Edge AI Engineer

Finland, MN · On-site

$100 - $125/hr

Overview Edge AI Engineerinä olet suunnittelemassa ja toteuttamassa skaalautuvia, turvallisia ja kustannustehokkaita Edge AI -ratkaisuja. Tehtäviisi kuuluu vastata Edge AI -ratkaisujen ...

Edge AI Product Owner - Medical Devices & AI Experience Level: 5-8 Years Department: Product, Data and AI Engineering About the Role: We are seeking a visionary and technically adept Edge AI Product ...

WI · On-site

$125 - $150/hr

We are seeking an Edge AI Systems Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. This role ...

Edge AI ML Engineer

Framingham, MA · On-site

$150 - $200/hr

About the RoleAs an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...

Systems Architect, Edge AI

Framingham, MA · On-site

$250K/yr

We are seeking a Principal Systems Engineer - Systems Architect, Edge AI to help architect that future. This is a deeply technical and creative role at the intersection of embedded systems, audio ...

Systems Architect, Edge AI

Framingham, MA · On-site

$250K/yr

We are seeking a Principal Systems Engineer - Systems Architect, Edge AI to help architect that future. This is a deeply technical and creative role at the intersection of embedded systems, audio ...

$203K/yr

Edge AI Architect - CUDA / C++ / Computer Vision Experience Level: 10+ Years Department: Edge AI & Embedded Systems About the Role: We are looking for a highly motivated and technically proficient ...

Pilot Manager - Edge AI Inferencing Description - The Piot Manager for Edge AI Inferencing will be responsible for identifying, validating, and scaling new customer opportunities for HP's Edge AI ...

Pilot Manager - Edge AI Inferencing Description - The Piot Manager for Edge AI Inferencing will be responsible for identifying, validating, and scaling new customer opportunities for HP's Edge AI ...

Edge AI ML Engineer

Framingham, MA · On-site

$150 - $200/hr

About the Role As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...

Systems Architect - Edge AI/ML

Concord, NC · Hybrid

$226K/yr

The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures ...

Edge AI ML Engineer

Framingham, MA

$84K - $113K/yr

About the Role As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...

Edge AI ML Engineer

Framingham, MA · On-site

$84K - $113K/yr

About the Role As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...

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Edge Ai information

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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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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:

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.

Edge AI Engineer

Finland, MN • On-site

$100 - $125/hr

Other

Posted 21 days ago


Job description

Overview

Edge AI Engineerinä olet suunnittelemassa ja toteuttamassa skaalautuvia, turvallisia ja kustannustehokkaita Edge AI -ratkaisuja. Tehtäviisi kuuluu vastata Edge AI -ratkaisujen suunnittelusta, toteutuksesta ja ylläpidosta, sekä tehdä yhteistyötä eri kehitystiimien kanssa. Osallistut jatkuvaan kehittämiseen, optimointiin ja uusien teknologioiden käyttöönottoon varmistaen, että palvelumme ovat huippuluokkaa ja vastaavat asiakkaiden sekä liiketoiminnan vaatimuksia.

Responsibilities
  • Suunnitella, toteuttaa ja ylläpitää Edge AI -ratkaisuja.
  • Tehtävään liittyy yhteistyö erilaisten kehitystiimien kanssa ja asiakasrajapinta tarpeen mukaan.
  • Osallistua jatkuvaan kehittämiseen, optimointiin ja uusien teknologioiden käyttöönottoon.
Qualifications
  • Vahva ymmärrys CPU- ja GPU-arkkitehtuureista sekä matalan tason optimointitekniikoista, kuten muistihierarkioista, käskyjen aikataulutuksesta ja suorituskyvyn optimointiin liittyvistä valinnoista.
  • Kokemusta C++-sovellusten ja -kirjastojen kehittämisestä, erityisesti korkean suorituskyvyn laskennan tai tieteellisten ohjelmistojen parissa.
  • Kokemusta GPU-ohjelmistojen kehittämisestä käyttäen HIP:iä, CUDA:a tai OpenCL:ää.
  • Yli viiden vuoden kokemus C++- ja Python-ohjelmoinnista (ei pakollinen).
  • Kokemusta TensorFlow- tai TinyML-teknologioista.
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