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Embedded Ai Engineer Jobs in Missouri (NOW HIRING)

Use AI-assisted tools to support embedded firmware development, including code generation, test case creation, and analysis of requirements and design artifacts under engineering guidance. * Validate ...

Use AI-assisted tools to support embedded firmware development, including code generation, test case creation, and analysis of requirements and design artifacts under engineering guidance. * Validate ...

Showing results 41-60

Embedded Ai Engineer information

See Missouri salary details

$65.7K

$143.9K

$163.2K

How much do embedded ai engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for embedded ai engineer in Missouri is $143,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $162,300.00 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 are popular job titles related to Embedded Ai Engineer jobs in Missouri?

For Embedded Ai Engineer jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Embedded Ai Engineer jobs?

Cities in Missouri with the most Embedded Ai Engineer job openings:

Senior Software Engineer - Vehicle Health Management

Boeing

Hazelwood, MO

$115K - $152K/yr

Full-time

Medical, Life, Retirement

Re-posted 14 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 613 frontline employees who took The Breakroom Quiz

32nd of 540 rated manufacturers


Job description

Senior Software Engineer - Vehicle Health Management

Company:

The Boeing Company

The Boeing Company is looking for Senior Software Engineer - Vehicle Health Management to join our Government Vehicle Health Management Systems (GHVMS) software team in Hazelwood, MO. This position in the Boeing Global Services (BGS) organization will primarily support Boeing Defense, Space & Security (BDS) Air Dominance programs.

The Senior Project Engineer will lead the full lifecycle of embedded software development integrated within specialized devices and systems, ensuring compliance with industry, customer, safety, and regulatory standards. This role directs the translation of complex customer requirements into effective software designs, overseeing code reviews, system integration, and improving software efficiency and stability on specialized hardware. Serving as a technical authority, the engineer guides testing, debugging, and the adoption of emerging technologies, tools, and regulatory changes to advance product performance. Additionally, the position leads the evaluation and coordination of internal and supplier teams, ensuring adherence to project plans and quality standards while providing strategic oversight of embedded software project management activities.

In GVHMS, we develop software that enables maintainers to keep military aircraft mission-ready and safe. As a software engineer on our team, you will create solutions that monitor and predict the health of aircraft throughout their lifecycle. Your solutions will be used to enable smarter maintenance decisions, automate processes, and reduce costs. You will also have the opportunity to develop with emerging technologies, such as AI, to advance our software capabilities and drive the future of predictive maintenance.

Position Responsibilities:

  • Leads the design, development, test, debugging and maintenance of software that is integrated into embedded devices and systems and meets industry, customer, safety and regulation standards

  • Leads review, analyses, and translation of customer requirements into the design of software products for embedded devices and systems

  • Reviews code for embedded systems software to run on specific specialized hardware

  • Leads integration of embedded software with hardware components

  • Leads analyses, monitoring and improvement of the efficiency and stability of embedded software systems

  • Leads testing and debugging of software for embedded devices and systems

  • Researches and leads implementation of current and emerging technologies, tools, frameworks, and changes in regulations relevant to software development and hardware technologies

  • Advises on software and hardware integration domains

  • Leads tracking and evaluation of internal and supplier software team performance to ensure product and process compliance to project plans and industry standards

  • Leads embedded software project management functions

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

Basic Qualifications (Required Skills/Experience):

  • Bachelor Degree

  • Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship

  • 9+ years of experience with embedded systems and/or developing software (C, C++)

  • 3+ years of experience with software utilized on air vehicle, avionics, weapons or mission systems

Preferred Qualifications (Desired Skills/Experience):

  • Level 4: Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience

  • 2+ years of experience working in an Agile product development environment

  • Secret Clearance is a plus

  • Ability to obtain access to Special Access Programs (SAP)

  • 2+ years of experience in the Aerospace industry

  • Experience with Linux, Software Containers (Docker and Kubernetes), CI/CD (JIRA, Gitlab, Ansible, & Artifactory), Model Based Systems Engineering (UML, SysML, Cameo, MSOSA), and Automated Testing

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range Senior (Level 4): $160,650 - $217,350

Potential signing bonus for eligible/qualified external candidates.

Language Requirements:

Not Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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