ZipRecruiter

Log In

2

Entry Level Embedded Ai Jobs (NOW HIRING)

Shield AI

Electrical Engineer I (BOS) (R5046)

Boston, MA · On-site

$81K - $122K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... We are looking for an entry level Electrical Engineer that is ready to help us bring X-BAT to first ...

Shield AI

Electrical Engineer I (TX)

Dallas, TX

$81K - $122K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... We are looking for an entry level Electrical Engineer that is ready to help us bring X-BAT to first ...

Commure

AI Agents Operations Associate

Mountain View, CA · On-site

$20 - $25/hr

Willingness to be onsite and occasionally embedded with customers * Scrappy, proactive, and willing ... entry-level role. You'll be working at the intersection of: * AI systems * Healthcare operations

next page

Showing results 1-20

All JobsEntry Level Embedded Ai Jobs

Entry Level Embedded Ai information

See salary details

$70K

$153.4K

$174K

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

As of Jun 11, 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, and why are they important?

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.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or embedded AI can earn salaries approaching or exceeding $500,000 annually, especially in senior or executive roles at large tech companies. These positions often require advanced skills, certifications, and significant industry experience.

Can I get an AI job with no experience?

Entry level embedded AI positions often require some foundational knowledge of programming, electronics, and machine learning concepts, but many employers are willing to consider candidates with relevant coursework, personal projects, or certifications. Gaining skills in programming languages like Python or C++, and familiarity with AI frameworks such as TensorFlow or PyTorch, can improve your chances. Internships, online courses, and hands-on projects can help build the experience needed to qualify for entry-level roles.

Is embedded AI a good career?

Embedded AI is a growing field that involves developing artificial intelligence systems integrated into hardware devices, often requiring skills in programming, hardware design, and machine learning. It offers opportunities in industries like robotics, IoT, and consumer electronics, with demand for professionals who can optimize AI algorithms for resource-constrained environments. The career typically involves continuous learning and working with tools such as embedded systems, microcontrollers, and AI frameworks.

What is the most entry-level AI job?

An entry-level AI job often involves roles such as AI intern, junior machine learning engineer, or AI research assistant. These positions typically require foundational knowledge of programming, data analysis, and basic understanding of AI concepts, with some roles offering on-the-job training or requiring certifications in relevant tools like Python or TensorFlow.
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:
What job categories do people searching Entry Level Embedded Ai jobs look for? The top searched job categories for Entry Level Embedded Ai jobs are:
Entry Level Embedded Ai jobs near you
Infographic showing various Entry Level Embedded Ai job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
Electrical Engineer I (BOS) (R5046)

Electrical Engineer I (BOS) (R5046)

Shield AI

Boston, MA • On-site

$81K - $122K/yr

Other

Posted 20 days ago

Job description

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. We are building the best team in aviation to drive rapid development and deployment of X-BAT.
 
We are looking for an entry level Electrical Engineer that is ready to help us bring X-BAT to first flight. You will own a project that ties directly to our critical path avionics development while receiving directly mentorship from Senior Electrical Engineers and other cross-functional leads. Our team looks for engineers that value first principles engineering and extreme ownership.
What you'll do:
  • Own a design that directly impacts the X-BAT system and major flight test milestones. A senior engineer is assigned as a direct mentor to provide technical review and professional feedback.
  • Full lifecycle ownership: concept, design, verification, integration, flight test, and manufacturing
  • Design efforts include:
  • Circuit design for our embedded system. You will design with analog, digital, power conversion, high-speed, FPGA, MCU, EMI/EMC, etc.
  • System integration and verification
  • Environmental test, qualification, and automation
  • Debug, root cause, and drive resolution
  • Systems must be designed for high-reliability, radiation, aggressive temperature changes, and high magnitude vibration
Required qualifications:
  • Have a degree in Electrical Engineering or equivalent
  • Strong technical fundamentals
  • Have been part of an engineering team/club
  • Experience with electrical design software, Altium, KiCAD, etc.
  • Ability to obtain a S//SAR level security clearance desired.
$81,456 - $122,184 a year
#LI-JM2
#LA

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply