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Embedded Ai Engineer Jobs in Washington (NOW HIRING)

Qrypt

Embedded Software Engineer

Germantown, MD · Hybrid

$125K - $155K/yr

The Embedded Software Engineer will own the design, development, and test of digital logic and ... Use AI-assisted and agentic development tooling to accelerate your work while owning the ...

Qrypt

Embedded Software Engineer

Germantown, MD · On-site

$125K - $155K/yr

The Embedded Software Engineer will own the design, development, and test of digital logic and ... Use AI-assisted and agentic development tooling to accelerate your work while owning the ...

AnaVation LLC

Sr. Cyber Engineer (AI)

Chantilly, VA · On-site

They are seeking a Senior AI Engineer to build advanced AI-driven systems for vulnerability ... embedded systems, mobile platforms, or cloud-native workloads. • Publications, conference ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is ... You will focus on building generative AI applications with embedded artifcial intelligence or ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: ship Node.Digital is an ... You will focus on building generative AI applications with embedded artifcial intelligence or ...

Node.Digital LLC

Senior AI/ML Engineer

Herndon, VA · On-site

$140 - $190/hr

You will focus on building generative AI applications with embedded artifcial intelligence or ... UiPath RPA Developer Certification and UiPath AI Center Experience * Knowledge of chatbot ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is ... You will focus on building generative AI applications with embedded artifcial intelligence or ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is ... You will focus on building generative AI applications with embedded artifcial intelligence or ...

Blue Origin

AI Engineer III - Blue Ring

Reston, VA

$59.75 - $80.25/hr

We are seeking an AI Engineer III to join the Blue Ring software team ... You will help develop and deliver the AI and machine learning capabilities embedded in Blue Ring ...

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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 Software Engineer

Qrypt

Germantown, MD • Hybrid

$125K - $155K/yr

Full-time

Re-posted 7 days ago

Job description

Qrypt's mission is to protect the world's data and restore privacy. Qrypt hardens cybersecurity and future-proofs encryption against quantum attacks by eliminating key transmission. Qrypt's unique technology independently generates symmetric keys at multiple endpoints for critical workflows today. We are a passionate team of engineers, physicists, and cryptographers committed to transforming the way the world safeguards data and communications!

Qrypt is looking for an Embedded Software Engineer to join our team. The Embedded Software Engineer will own the design, development, and test of digital logic and embedded software.

This position is in Germantown, MD (hybrid — 4 days in office per week)

What you'll do
  • Lead the design, development, and test of systems composing of hardware, digital logic, embedded software, Linux kernel modules, and user-space Linux software
  • Assist in the design, review, and debug of analog/mixed signal circuit boards
  • Develop a deep understanding of the domain (quantum random number generators, network security systems) to architect future products and systems and validate existing products and systems
  • Lead hardware/FPGA/software integration efforts
  • Develop manufacturing and test tools and procedures, and supervise their execution
  • Use AI-assisted and agentic development tooling to accelerate your work while owning the correctness and quality of everything you ship
  • Help shape how the team adopts AI-assisted development (instruction conventions, review standards) as tooling matures
  • Assist in project planning and management
What you'll need
  • Bachelor's degree in Electrical or Computer Engineering, or a similar technical field, (Math, Physics, Engineering) and/or relevant work experience
  • 4+ years of experience developing software for embedded platforms or the Linux kernel
  • Expertise in the design and development of embedded systems
  • Proficiency with C, C++, bash and/or Python
  • Experience in the installation, upgrade, configuration, and performance tuning of Linux-based servers
  • Experience with bringing up hardware
  • Familiarity with FPGA development, Verilog or VHDL
  • Familiarity with RF and low-noise analog circuit and board design
  • Familiarity with electronics lab/test equipment (oscilloscope, logic analyzer, etc.)
  • Familiarity with implementing signal processing and/or control system algorithms
  • Fluency with AI-assisted development and the judgment to apply it where it adds real leverage — reviewing, correcting, and taking full ownership of AI-generated work
  • Strong written and verbal communication skills
Benefits & Perks
  • Competitive Pay & Equity participation
  • Comprehensive health, dental and vision coverage
  • Strong 401(k) match
  • In-office lunch and snacks
  • The opportunity to be part of a company solving one of the most critical technology challenges of our time!
Compensation

The annual base pay range for this role is between $125,000 - $155,000. The actual base salary pay offered may vary based on multiple factors such as qualifications, experience, transferable skills, level of education, and other factors permitted by law. Please note that this salary information is solely for candidates hired to perform work in this location and refers to the amount Qrypt is willing to pay at the time of this posting. The range listed is just one component of Qrypt's total compensation package.

Equal Opportunity Employer

Qrypt is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at info@qrypt.com to obtain assistance.

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.