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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 (SD)

San Diego, CA · On-site

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 ...

Apply Early

Shield AI

Electrical Engineer I (BOS) (R5046)

Boston, MA

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 ...

Apply Early

Shield AI

Electrical Engineer I (SD)

San Diego, CA · 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 · 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 ...

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Entry Level Embedded Ai information

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

As of Jul 2, 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.

More about Entry Level Embedded Ai jobs
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Entry Level Embedded Ai jobs near you
Electrical Engineer I (BOS) (R5046)

Electrical Engineer I (BOS) (R5046)

Shield AI

Boston, MA • On-site

$81K - $122K/yr

Other

Posted 10 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.
 
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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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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