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Embedded Ai Engineer Jobs in Washington (NOW HIRING)

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

R0244633 Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and ... Experience with embedded systems programming in C, C++, or Rus t * Experience in GPU programming ...

Bytoa

Senior Applied AI Engineer

Columbia, MD · On-site

$225 - $255/hr

Embedded within cyber units, you'll be the force multiplier who transforms how security ... Active presence in the AI engineering community. Experience Requirement: 12 yrs., B.S. in a ...

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All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Washington

Embedded Ai Engineer information

See Washington salary details

$79.3K

$173.7K

$197.1K

How much do embedded ai engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for embedded ai engineer in Washington is $173,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $148,900.00 and $195,900.00 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 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 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 are popular job titles related to Embedded Ai Engineer jobs in Washington?

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

What job categories do people searching Embedded Ai Engineer jobs in Washington look for?

The top searched job categories for Embedded Ai Engineer jobs in Washington are:

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

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

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Washington 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 $173,722 per year, or $83.5 per hour.

Embedded Engineer with Security Clearance

BigBear.ai

Columbia, MD • On-site

Other

Re-posted 5 days ago

Job description

Residency All applicants must reside in the United States at the time of application. Overview BigBear.ai is seeking an Embedded Engineer to join and assist and meet mission needs for our government customer. At BigBear.ai, you'll work alongside some of the brightest minds in artificial intelligence, solving real-world problems that matter. Whether it's advancing national security, transforming healthcare, or optimizing logistics, your work will make a measurable impact across critical industries. We foster a collaborative, forward-thinking culture where innovation thrives and so do our people. With competitive pay, generous benefits, and clear paths for growth, this is more than just a job, it's a mission. Let's make a difference, together! This role will be performed onsite at the assigned customer location. What you will do * Design, develop, debug, and test embedded software. * Perform requirements analysis to drive requirement specifications. * Perform design reviews with team members and government stakeholders. * Package embedded software products for release to government customers. What you need to have * Active TS/SCI with Poly clearance. * Experience with low-level programming in a Windows, Linux, or RTOS (i.e., VxWorks, uC/OS, etc.). Experience with C/C++ and Python programming. * Bachelor Degree or higher in computer engineering or in a field related to computer engineering or computer science disciplines is required. with at least Ten (10) years' experience as an embedded developer, in programs and contracts of similar scope, type, and complexity is required. What we'd like you to have * Experience automating the testing of embedded software running on embedded devices. Pay transparency Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered. About BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai. BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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