Embedded Systems Ai Intern information
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$11.04 - $12.35
6% of jobs
$12.35 - $13.66
3% of jobs
$14.35 is the 25th percentile. Wages below this are outliers.
$13.66 - $14.97
27% of jobs
The median wage is $16.05 / hr.
$14.97 - $16.28
15% of jobs
$16.28 - $17.59
16% of jobs
$18.43 is the 75th percentile. Wages above this are outliers.
$17.59 - $18.90
10% of jobs
$18.90 - $20.21
11% of jobs
$20.21 - $21.53
8% of jobs
$21.53 - $22.84
3% of jobs
How much do embedded systems ai intern jobs pay per hour?
As of Sep 10, 2026, the average hourly pay for embedded systems ai intern in the United States is $16.69, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.75 per hour, depending on experience, location, and employer.
Embedded Systems AI Interns are students or early-career professionals who work on integrating artificial intelligence algorithms into embedded systems, such as microcontrollers or IoT devices. Their responsibilities typically include developing, testing, and optimizing AI models to run efficiently on limited hardware. Interns may also be involved in data collection, preprocessing, and deploying machine learning models on edge devices. This role provides hands-on experience in both software development and hardware integration, bridging the gap between AI and embedded engineering.
To thrive as an Embedded Systems AI Intern, you need a solid understanding of embedded systems, programming languages like C/C++, and fundamental AI or machine learning concepts, often supported by coursework in electrical engineering or computer science. Familiarity with microcontroller platforms (e.g., ARM, Arduino), hardware interfaces, and AI frameworks like TensorFlow Lite is commonly expected. Strong problem-solving, attention to detail, and the ability to communicate technical ideas clearly help interns stand out. These skills enable effective integration of AI into resource-constrained embedded environments and contribute to innovative solutions in real-world applications.
As an Embedded Systems AI Intern, you can expect to work on projects such as developing machine learning models for edge devices, optimizing algorithms for real-time processing, and integrating AI functionalities with hardware platforms. These projects often involve close collaboration with software engineers, hardware teams, and data scientists to ensure seamless system integration. Your contributions typically support the team's efforts to create smarter, more efficient embedded solutions that advance the company's product roadmap. This hands-on experience not only builds your technical skills but also helps you understand how AI and embedded systems intersect in real-world applications.
What are popular job titles related to Embedded Systems Ai Intern jobs?
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