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Embedded Ai Engineer Jobs in Meridian, ID (NOW HIRING)

Go-to-Market - Boise, ID, USA

Boise, ID · On-site

$150K - $200K/yr

These include frontend and backend engineers, AI research scientists, and others from Amazon ... Work alongside a team that stays embedded with customers, so you're never selling something that ...

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Embedded Ai Engineer information

See Meridian, ID salary details

$67.9K

$148.7K

$168.7K

How much do embedded ai engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for embedded ai engineer in Meridian, ID is $148,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,500.00 and $167,700.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

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

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

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

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What job categories do people searching Embedded Ai Engineer jobs in Meridian, ID look for?

The top searched job categories for Embedded Ai Engineer jobs in Meridian, ID are:

What cities near Meridian, ID are hiring for Embedded Ai Engineer jobs?

Cities near Meridian, ID with the most Embedded Ai Engineer job openings:

Infographic showing various Embedded Ai Engineer job openings in Meridian, ID as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $148,694 per year, or $71.5 per hour.

Senior System Security Engineer (SSE)

General Dynamics Mission Systems, Inc

Boise, ID • Hybrid

$142K - $150K/yr

Full-time

Medical, Retirement

Re-posted 22 days ago


General Dynamics Mission Systems rating

8.1

Company rating: 8.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

114th of 246 rated software companies


Job description

Education Requirements:

Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus a minimum of 6 years of relevant experience.

Clearance Requirements:

Ability to obtain a Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.


ROLE AND POSITION OBJECTIVES:

A successful candidate will possess implemtation level details of vulnerabilities and their countermeasures across a wide range of system types including microcontrollers, FPGA based system-on-chip (SoC) system, and workstation grade single board computers. GDMS is equally interested in physical and virtual threat vectors.

Example Physical threats:

-        Side Channel Analysis against crypto systems

-        Glitching and fault injection

-        Invasive and non-invasive chip and circuit card level failure analysis techniques

-        JTAG and in-circuit debug

-        Direct Memory access and bus protocol exploitation

Example Virtual threats:

-        Software exploitation

-        Firmware Exploitation

-        Root Kits and Boot Kits

-        Protocol exploitation

-        Cryptanalysis

-        CPU Side Channel Analysis

-        Rowhammer

The primary responsibility of this candidate is to individually contribute to the vulnerability analysis and countermeasure selection/design for subsystem and component (circuit card or device level) elements within U.S. weapon systems.

 
PRIMARY RESPONSIBILITIES

  • Evaluate proposed or existing system architectures for reverse engineering and cyber exploitation vulnerabilities
  • Document vulnerabilities in white papers and attack countermeasure analysis
  • Architect system level security design and requirements to address the vulnerabilities enumerated within U.S. weapon systems.
  • Prepare for, attend, and brief and customer and government design review meetings
  • Participate in all aspects of the product design life cycle including system architecture, design, development, and verification
  • Distill complex technical concepts into clear and concise writing to support proposals for new opportunities
  • Contribute to new product ideas and proposals
  • Participate in industry working groups and provide security recommendations to relevant government and commercial standards, policies, and procedures

What sets you apart:

  • More than five (5) years of proven past performance in embedded systems security design; preference given to candidates who have experience with US Department of Defense (DoD) embedded systems security

  • Advanced knowledge of crypto algorithms, when and how to use each algorithm, vulnerabilities of each algorithm and vulnerabilities inherent to an implementation of each algorithm

  • Advanced knowledge of attacks and vulnerabilities against hardware and software, as well as an understanding of balancing solutions with acceptable residual vulnerabilities

  • Advanced understanding of computer hardware and software architectures, including being able to clearly articulate how a CPU works, how a FPGA works, how Operating Systems work and how user space application runtime environments work

  • Ability to clearly capture complex technical concepts in writing for both technical and general audiences

  • Strong analytical and problem-solving skills

  • Must be highly creative and have experience interfacing directly with external customers negotiation and the ability to meet challenging customer requirements with win-win solutions

  • Commitment to ongoing professional development for yourself and others
  • Identifies opportunities to apply AI for continuous improvement and innovation

Our Commitment to You:

  • An exciting career path with opportunities for continuous learning and development.
  • Research oriented work, alongside award winning teams developing practical solutions for our nation’s security
  • Flexible schedules with every other Friday off work, if desired (9/80 schedule)
  • Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
  • See more at gdmissionsystems.com/careers/why-work-for-us/benefits

Workplace Options:
This position is expected to be in the Salt Lake City, Utah or Boise, Idaho office.

#LI-JH1

#LI-Hybrid


This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
USD $142,407.00 - USD $150,195.00 /Yr.

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!


Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans


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