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Entry Level Embedded Ai Jobs (NOW HIRING)

AI & DevOps Engineer (Elite Entry-Level Track) Salary: $70,000/year W2 with a guaranteed ... who are currently embedded at Fortune 500 firms. They provide the "insider" technical and ...

AI & DevOps Engineer (Elite Entry-Level Track) Salary: $70,000/year W2 with a guaranteed ... who are currently embedded at Fortune 500 firms. They provide the insider technical and ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Create PCBs for power distribution, protocol bridging, and embedded control. * Networking ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Create PCBs for power distribution, protocol bridging, and embedded control. * Networking ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Create PCBs for power distribution, protocol bridging, and embedded control. * Networking ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Create PCBs for power distribution, protocol bridging, and embedded control. * Networking ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Create PCBs for power distribution, protocol bridging, and embedded control. * Networking ...

Showing results 41-60

Entry Level Embedded Ai information

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$70K

$153.4K

$174K

How much do entry level embedded ai jobs pay per year?

As of Aug 13, 2026, the average yearly pay for entry level embedded ai in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is an entry level embedded AI engineer?

An entry level embedded AI engineer is a professional who helps design, develop, and implement artificial intelligence (AI) solutions on embedded systems, such as microcontrollers and other hardware devices with limited processing power. Their role often involves integrating machine learning models into devices, optimizing code for hardware constraints, and testing AI functionalities in real-world scenarios. Entry level engineers typically work under the guidance of more experienced engineers and may participate in tasks like data preprocessing, algorithm selection, firmware development, and debugging. A background in computer engineering, embedded systems, or related fields is usually required for this position.

What are some common challenges faced by entry level embedded AI engineers, and how can they overcome them?

Entry-level embedded AI engineers often face challenges such as optimizing AI models to run efficiently on resource-constrained hardware, integrating machine learning algorithms with embedded systems, and debugging complex interactions between hardware and software. Overcoming these challenges typically involves developing strong programming skills (especially in C/C++ and Python), gaining familiarity with embedded development environments, and learning to use profiling tools to identify performance bottlenecks. Collaborating closely with senior engineers and participating in code reviews can also accelerate learning and help resolve technical hurdles more effectively.

What are the key skills and qualifications needed to thrive as an entry level embedded AI engineer?

To thrive as an Entry Level Embedded AI Engineer, you need a solid understanding of embedded systems, programming languages like C/C++ or Python, and basic knowledge of AI/ML concepts, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with microcontrollers, real-time operating systems (RTOS), and tools such as TensorFlow Lite or PyTorch Mobile is often necessary. Strong problem-solving abilities, attention to detail, and effective teamwork set candidates apart in this role. These skills and qualities are crucial for developing efficient, reliable AI solutions that operate seamlessly on embedded hardware in real-world applications.

What is the difference between Entry Level Embedded Ai vs Entry Level Machine Learning Engineer?

AspectEntry Level Embedded AiEntry Level Machine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related field; knowledge of embedded systemsBachelor's in Computer Science, Data Science, or related; understanding of ML algorithms
Work EnvironmentEmbedded device development, hardware-software integrationSoftware development, data modeling, algorithm implementation
Industry UsageConsumer electronics, IoT devices, automotive systems

Entry Level Embedded Ai focuses on developing AI solutions within embedded systems, often requiring hardware knowledge. In contrast, Entry Level Machine Learning Engineer emphasizes designing and implementing ML models primarily in software. Both roles typically require a related bachelor's degree and are common in tech and electronics industries, but they differ in their focus on hardware versus software development.

More about Entry Level Embedded Ai jobs
What cities are hiring for Entry Level Embedded Ai jobs? Cities with the most Entry Level Embedded Ai job openings:
What are the most commonly searched types of Embedded Ai jobs? The most popular types of Embedded Ai jobs are:
Infographic showing various Entry Level Embedded Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Mechanical Engineer 2-Data Center IT Rack Feasibility

Dell

Round Rock, TX

Full-time

Re-posted 17 days ago


Job description

Infrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data continuity, and deliver the platforms, applications, and diagnostics our customers rely on every day at enterprise scale.Some product builders follow the rules. Ours rewrite them.Within ISG, innovation isn't just about creating new technology- it's about challenging assumptions and reimagining how work gets done. Engineers define intent, author precise specifications, and orchestrate AI agents that execute at speed and scale. AI is embedded throughout our development process, helping us move faster, learn quicker, and deliver greater impact. Yet the most important contribution remains uniquely human: deciding what to build, designing how it should work, and applying the judgment needed to earn our customers' trust. When your products power critical infrastructure around the world, that responsibility matters.We move quickly toward the work that matters most. We reward experimentation, encourage bold thinking, and remove unnecessary barriers so great ideas can become reality faster. Our teams embrace a customer-first, first-to-market mindset, transforming rapid feedback into better products and better outcomes. We aren't looking for people who are content with the status quo- we look for builders who question it, improve it, and occasionally rewrite it.If you're energized by solving complex systems challenges, excited to work alongside AI to amplify Center IT Rack Feasibility on our Mechanical Engineering team in Round Rock, Texas (relocation assistance available).Mechanical Engineer-Data Center IT Rack FeasibilityInfrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data

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About DELL

Sourced by ZipRecruiter

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We're proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Round Rock, TX, US

Year founded

1984