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Embedded Ai Engineer Jobs in Washington, DC (NOW HIRING)

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

R0245087 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 ...

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, DC

Embedded Ai Engineer information

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$79.3K

$173.7K

$197K

How much do embedded ai engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for embedded ai engineer in Washington, DC is $173,658.00, 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 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 Washington, DC?

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

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

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

Embedded Ai Engineer jobs near you

Computer Vision AI Engineer

Booz Allen Hamilton

Mclean, VA • On-site

$99K - $225K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 12 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants

Job description

Job Number: R0245087
Computer Vision AI Engineer
The Opportunity:
Booz Allen is seeking an innovative and experience d AI Developer spe cia lizing in computer vision to join our growing team for space solutions. In this role, you will leverage your expertise in AI, data science, and machine learning ( ML ) engineering to train, test, deploy, and maintain models that learn from data.
You will collaborate with cross-functional teams to develop and deploy advanced computer vision models and systems, bringing significant technological advancements that drive mission success. In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll grow within a large community of ML engineers across the company and collaborate with a team of dedicated space industry and AI professionals to deliver world-class solutions to solve missile warning problems in near-real-time.
What You'll Work On:
  • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python, C++, and Rus t.
  • Develop and maintain Fire Control Systems, ensuring robustness and accuracy in real-time applications.
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
  • Contribute to the architecture and implementation of embedded systems programming using C, C++, or Rus t.

Join us. The world can't wait.
You Have:
  • 4+ years of experience in sensor fusion and target tracking
  • Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM
  • Experience in AI, data science, ML engineering, or sof tware engineering
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with embedded systems programming in C, C++, or Rus t
  • Experience in GPU programming, including CUDA or RAPIDs
  • Experience developing space solutions
  • Knowledge of modern sof tware design patterns, including microservice design and orchestration in Kubernetes deployment
  • TS/SCI clearance
  • Master's degree in a CS or AI field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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