ZipRecruiter

Log In

2

Entry Level Embedded Ai Jobs (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsEmbedded Ai 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 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:
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 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.

Power Electronics - Electrical Engineer I

Shield AI

San Diego, CA • On-site

$81K - $122K/yr

Full-time, Part-time

Re-posted 5 days ago

Job description

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, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. 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:
Shield AI is redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we're building our next-generation aircraft, XBAT, like no other-one that will push the boundaries of innovation and performance.
 
We are looking for an entry-level Power Electronics Engineer who is excited to help bring X-BAT's next-generation power systems to first flight. In this role, you will own a meaningful project directly tied to our power architecture critical path, while receiving direct mentorship from senior power and electrical engineers. We value first-principles thinking, hands-on engineering, and extreme ownership.
What you'll do:
  • Own a power electronics design that directly impacts X-BAT system performance and major flight test milestones, supported by a senior engineer who provides technical guidance and review.
  • Contribute to the full hardware lifecycle including concept development, modeling, worst-case analysis, schematic capture, simulation, prototyping, bring-up, verification, integration, and flight test support.
  • Design and analyze low-voltage and high-voltage power systems including DC-DC converters, inverters, motor controllers, battery systems, power distribution, and protection circuits.
  • Design systems across power ranges from <1 kW low-power loads to >10 kW high-power applications while balancing efficiency, thermal constraints, EMI/EMC performance, and reliability.
  • Partner with ECAD engineers on PCB layout for power density, thermal performance, EMI mitigation, and manufacturability.
  • Execute hands-on board bring-up, debug, root-cause analysis, and validation using oscilloscopes, power supplies, electronic loads, and other test equipment.
  • Support environmental, stress, and qualification testing (HALT, vibration, temperature cycling) for aerospace-grade reliability.
  • Collaborate closely with Mechanical, Embedded, Software, Production, and Aircraft teams to ensure robust system integration and clear interface ownership.
  • Drive disciplined engineering practices including documentation, risk reduction, and closing the loop between analysis and test results.
Required qualifications:
  • B.S. in Electrical Engineering or equivalent.
  • Strong technical fundamentals in circuits, electronics, and power systems.
  • Hands-on experience (coursework, labs, clubs, or internships) with power electronics such as converters, motor drivers, batteries, or high-power systems.
  • Familiarity with electrical design tools (Altium, KiCad, etc.).
  • Experience using lab equipment such as oscilloscopes, power supplies, e-loads, and multimeters.
  • Participation in an engineering team/club or hands-on project experience.
  • 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 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.
apply for this job

Apply