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Edge Ai Engineer 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 ...

$203K/yr

We are looking for a highly motivated and technically proficient Edge AI Engineer with a strong background in Edge AI devices, computer vision algorithms, and AI model deployment in the MedTech ...

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

JOB Title: Java AI Engineer Location: Farmington Hills, MI (Hybrid) Hiring Type: Contract Note ... edge AI capabilities. The candidate must be comfortable working in a fast-paced, research-driven ...

Product, Data and AI Engineering About the Role: We are seeking a visionary and technically adept Edge AI Product Owner to lead the development and lifecycle management of cutting-edge Edge AI ...

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 ...

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 ...

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 ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... edge AI and cloud-native technologies. This position is based onsite at a client location in the ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... edge AI and cloud-native technologies. This position is based onsite at a client location in the ...

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Edge Ai Engineer information

See salary details

$25

$53

$76

How much do edge ai engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for edge ai engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is an Edge AI Engineer?

An Edge AI Engineer is a professional who designs, develops, and deploys artificial intelligence (AI) applications that run directly on edge devices, such as smartphones, IoT sensors, cameras, or embedded systems, rather than relying solely on cloud computing. Their work involves optimizing machine learning models for efficiency and low power consumption, ensuring real-time processing, and addressing privacy or connectivity concerns. Edge AI Engineers typically have expertise in embedded systems, AI frameworks, and hardware acceleration technologies.

What are the key skills and qualifications needed to thrive as an Edge AI Engineer?

To thrive as an Edge AI Engineer, you need strong skills in machine learning, embedded systems, and software development, typically supported by a degree in computer science, electrical engineering, or a related field. Familiarity with edge computing platforms (like NVIDIA Jetson or Google Coral), programming languages such as Python and C++, and experience with frameworks like TensorFlow Lite or ONNX are essential. Problem-solving ability, adaptability, and effective communication help you address unique deployment challenges and collaborate with cross-functional teams. These skills are vital to efficiently developing, optimizing, and deploying AI models on resource-constrained edge devices for real-world applications.

What are some common challenges Edge AI Engineers face when deploying models on resource-constrained devices?

Edge AI Engineers often encounter challenges such as optimizing machine learning models to run efficiently on devices with limited processing power, memory, and battery life. Balancing model accuracy with latency and resource constraints is a key consideration, as is ensuring robust security and data privacy for on-device processing. Additionally, engineers must frequently collaborate with hardware teams to tailor solutions for specific chipsets and work with software engineers to integrate models seamlessly into existing edge applications.

What cities are hiring for Edge Ai Engineer jobs?

Cities with the most Edge Ai Engineer job openings:

What are popular job titles related to Edge Ai Engineer jobs?

For Edge Ai Engineer jobs, the most frequently searched job titles are:

Infographic showing various Edge Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $111,552 per year, or $53.6 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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