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Part Time Embedded Ai Jobs (NOW HIRING)

Shield AI

Electrical Engineer I (SD)

San Diego, CA · On-site

$81K - $122K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Circuit design for our embedded system. You will design with analog, digital, power conversion ...

Shield AI

Electrical Engineer I (BOS) (R5046)

Boston, MA · On-site

$81K - $122K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Circuit design for our embedded system. You will design with analog, digital, power conversion ...

Shield AI

Electrical Engineer I (SD)

San Diego, CA · On-site

$81K - $122K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Circuit design for our embedded system. You will design with analog, digital, power conversion ...

Shield AI

Electrical Engineer I (BOS) (R5046)

Boston, MA · On-site

$81K - $122K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Circuit design for our embedded system. You will design with analog, digital, power conversion ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

... to edge and embedded hardware using frameworks such as TensorRT, ONNX Runtime, OpenVINO, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Embedded Ai information

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How much do part time embedded ai jobs pay per year?

As of Aug 22, 2026, the average yearly pay for part time 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 a part time embedded AI?

A Part Time Embedded AI job involves working on artificial intelligence (AI) algorithms and systems that are integrated into hardware devices, but on a part-time basis. Professionals in this role typically design, develop, and optimize AI models to run efficiently on embedded systems such as microcontrollers, IoT devices, or edge devices. The part-time nature of the job allows for flexible hours, making it suitable for students, freelancers, or those looking to supplement their income. Key responsibilities may include programming, testing, and deploying AI models within the constraints of limited computing resources. This role requires knowledge of both AI concepts and embedded systems programming.

What are the typical responsibilities and collaboration expectations for a part time embedded AI engineer?

As a part-time Embedded AI engineer, you’ll typically work on integrating AI algorithms into hardware devices, often focusing on optimizing models for resource-constrained environments. You’ll collaborate closely with firmware developers, hardware engineers, and sometimes data scientists to ensure seamless deployment and real-time performance. Communication and coordination are key, as you’ll need to align your schedule with the team’s milestones and contribute efficiently within your available hours. Regular code reviews, sprint planning, and status updates are common, even in part-time roles.

What are the key skills and qualifications needed to thrive as a part time embedded AI engineer, and why are they important?

To thrive as a Part-Time Embedded AI Engineer, you need a solid background in embedded systems, machine learning fundamentals, and programming languages such as C/C++ and Python, often supported by a relevant engineering or computer science degree. Familiarity with AI development frameworks (like TensorFlow Lite), real-time operating systems (RTOS), and microcontroller or FPGA platforms is typically expected. Strong problem-solving, time management, and collaboration skills help you deliver results efficiently in a flexible, part-time setting. These competencies are vital to effectively design, implement, and optimize AI solutions within the constraints of embedded hardware and limited work hours.
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Part Time Embedded Ai jobs near you
Infographic showing various Part Time Embedded Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Electrical Engineer I (SD)

Shield AI

San Diego, CA • On-site

$81K - $122K/yr

Full-time, Part-time

Re-posted yesterday

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:
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 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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